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, GarcÃa-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, GarcÃa-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: ArnoÅ¡t Komárek [aut, cre] Maintainer: ArnoÅ¡t 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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mixAK to link to this page.
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