poLCAParallel: Polytomous Variable Latent Class Analysis Parallel
A 'C++' reimplementation of 'poLCA' - latent class analysis and
latent class regression models for polytomous outcome variables, also known
as latent structure analysis. It attempts to reproduce results and be as
similar as possible to the original code, while running faster, especially
with multiple repetitions, by utilising multiple threads. Further reading is
available on the Queen Mary, University of London, IT Services Research blog
<https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/>.
| Version: |
1.2.6 |
| Depends: |
R (≥ 3.0.2) |
| Imports: |
Rcpp (≥ 1.0.7), scatterplot3d, MASS, parallel, poLCA |
| LinkingTo: |
Rcpp, RcppArmadillo (≥ 0.12.4.1.0) |
| Suggests: |
testthat (≥ 3.0.0), roxygen2, usethis |
| Published: |
2026-02-19 |
| DOI: |
10.32614/CRAN.package.poLCAParallel (may not be active yet) |
| Author: |
Sherman Lo [aut, cre],
Drew Linzer [aut],
Jeffrey Lewis. [aut] |
| Maintainer: |
Sherman Lo <s.lo at qmul.ac.uk> |
| License: |
GPL-2 |
| URL: |
https://github.com/QMUL/poLCAParallel |
| NeedsCompilation: |
yes |
| Citation: |
poLCAParallel citation info |
| Materials: |
README |
| CRAN checks: |
poLCAParallel results [issues need fixing before 2026-03-06] |
Documentation:
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