mixAK: Multivariate Normal Mixture Models and Mixtures of Generalized Linear Mixed Models Including Model Based Clustering

Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.

Version: 5.7
Depends: R (≥ 3.0.0), colorspace, lme4 (≥ 1.0)
Imports: graphics, stats, methods, splines, fastGHQuad, mnormt, parallel, coda
Suggests: mvtnorm
Published: 2023-12-14
DOI: 10.32614/CRAN.package.mixAK
Author: Arnošt Komárek ORCID iD [aut, cre]
Maintainer: Arnošt Komárek <arnost.komarek at mff.cuni.cz>
License: GPL (≥ 3)
URL: https://msekce.karlin.mff.cuni.cz/~komarek/
NeedsCompilation: yes
Citation: mixAK citation info
Materials: NEWS
In views: Cluster, Survival
CRAN checks: mixAK results


Reference manual: mixAK.pdf


Package source: mixAK_5.7.tar.gz
Windows binaries: r-devel: mixAK_5.7.zip, r-release: mixAK_5.7.zip, r-oldrel: mixAK_5.7.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: mixAK archive

Reverse dependencies:

Reverse imports: BCClong, opGMMassessment
Reverse suggests: icensBKL, latrend, miscF


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