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

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 Komárek [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:
In views:	Cluster, Survival
CRAN checks:	mixAK results

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