mixAK

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.

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