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CRAN: Package poLCAParallel

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: 1.2.7
Depends: R (≥ 4.1.2)
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: 2026-03-13
DOI: 10.32614/CRAN.package.poLCAParallel
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
SystemRequirements: C++20
Citation: poLCAParallel citation info
Materials: README
CRAN checks: poLCAParallel results

Documentation:

Reference manual: poLCAParallel.html , poLCAParallel.pdf

Downloads:

Package source: poLCAParallel_1.2.7.tar.gz
Windows binaries: r-devel: poLCAParallel_1.2.7.zip, r-release: not available, r-oldrel: poLCAParallel_1.2.7.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: poLCAParallel archive

Linking:

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