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VICatMix: Variational Mixture Models for Clustering Categorical Data

A variational Bayesian finite mixture model for the clustering of categorical data, and can implement variable selection and semi-supervised outcome guiding if desired. Incorporates an option to perform model averaging over multiple initialisations to reduce the effects of local optima and improve the automatic estimation of the true number of clusters. For further details, see the paper by Rao and Kirk (2024) <doi:10.48550/arXiv.2406.16227>.

Version: 1.0
Depends: R (≥ 2.10)
Imports: klaR, matrixStats, mcclust, Rcpp, stats, gtools
LinkingTo: Rcpp, RcppArmadillo
Suggests: doParallel, doRNG, foreach, parallel
Published: 2024-11-27
DOI: 10.32614/CRAN.package.VICatMix
Author: Jackie Rao [aut, cre], Paul D.W Kirk [ths], Sara Wade [ctb], Colin Starr [ctb], John Maddock [cph] (Author of original version of digamma header (digamma.h).)
Maintainer: Jackie Rao <jackie.rao at mrc-bsu.cam.ac.uk>
BugReports: https://github.com/j-ackierao/VICatMix/issues
License: GPL (≥ 3)
URL: https://github.com/j-ackierao/VICatMix
NeedsCompilation: yes
Materials: README
CRAN checks: VICatMix results

Documentation:

Reference manual: VICatMix.pdf

Downloads:

Package source: VICatMix_1.0.tar.gz
Windows binaries: r-devel: VICatMix_1.0.zip, r-release: VICatMix_1.0.zip, r-oldrel: VICatMix_1.0.zip
macOS binaries: r-release (arm64): VICatMix_1.0.tgz, r-oldrel (arm64): VICatMix_1.0.tgz, r-release (x86_64): VICatMix_1.0.tgz, r-oldrel (x86_64): VICatMix_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=VICatMix to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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