mvtweedie: Estimate Diet Proportions Using Multivariate Tweedie Model

Defines predict function that transforms output from a Tweedie Generalized Linear Mixed Model (using 'glmmTMB'), Generalized Additive Model (using 'mgcv'), or spatio-temporal Generalized Linear Mixed Model (using package 'tinyVAST'), and returns predicted proportions (and standard errors) across a grouping variable from an equivalent multivariate-logit Tweedie model. These predicted proportions can then be used for standard plotting and diagnostics. See Thorson et al. 2022 <doi:10.1002/ecy.3637>.

Version:	1.2.0
Depends:	R (≥ 4.1.0)
Imports:	stats, tibble
Suggests:	mgcv, knitr, rmarkdown, ggplot2, glmmTMB, lattice, pdp, raster, sp, RANN, plotrix, tweedie, abind, rnaturalearth, rnaturalearthdata, sf, dplyr, viridisLite, tinyVAST
Published:	2026-01-07
DOI:	10.32614/CRAN.package.mvtweedie (may not be active yet)
Author:	James Thorson [aut, cre]
Maintainer:	James Thorson <James.Thorson at noaa.gov>
License:	GPL-3
URL:	https://james-thorson-noaa.github.io/mvtweedie/
NeedsCompilation:	no
Citation:	mvtweedie citation info
Materials:	README, NEWS
CRAN checks:	mvtweedie results

Documentation:

Reference manual:	mvtweedie.html , mvtweedie.pdf
Vignettes:	Introduction to mvtweedie (source, R code)

Downloads:

Package source:	mvtweedie_1.2.0.tar.gz
Windows binaries:	r-devel: not available, r-release: mvtweedie_1.2.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): mvtweedie_1.2.0.tgz, r-oldrel (arm64): mvtweedie_1.2.0.tgz, r-release (x86_64): mvtweedie_1.2.0.tgz, r-oldrel (x86_64): mvtweedie_1.2.0.tgz

Linking:

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