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mixAK: Multivariate Normal Mixture Models and Mixtures of GeneralizedLinear 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. The package is primarily related to the publications Komárek (2009, Comp. Stat. and Data Anal.) <doi:10.1016/j.csda.2009.05.006> and Komárek and Komárková (2014, J. of Stat. Soft.) <doi:10.18637/jss.v059.i12>. It also implements methods published in Komárek and Komárková (2013, Ann. of Appl. Stat.) <doi:10.1214/12-AOAS580>, Hughes, Komárek, Bonnett, Czanner, García-Fiñana (2017, Stat. in Med.) <doi:10.1002/sim.7397>, Jaspers, Komárek, Aerts (2018, Biom. J.) <doi:10.1002/bimj.201600253> and Hughes, Komárek, Czanner, García-Fiñana (2018, Stat. Meth. in Med. Res) <doi:10.1177/0962280216674496>.

Version:5.8
Depends:R (≥ 3.0.0),colorspace,lme4 (≥ 1.0)
Imports:graphics, stats, methods, splines,fastGHQuad,mnormt, parallel,coda
Suggests:mvtnorm
Published:2024-09-16
DOI:10.32614/CRAN.package.mixAK
Author:Arnošt KomárekORCID 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

Documentation:

Reference manual:mixAK.html ,mixAK.pdf

Downloads:

Package source: mixAK_5.8.tar.gz
Windows binaries: r-devel:mixAK_5.8.zip, r-release:mixAK_5.8.zip, r-oldrel:mixAK_5.8.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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mixAKto link to this page.


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