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: 4.2
Depends: R (≥ 3.0.0), colorspace, lme4 (≥ 1.0)
Imports: graphics, stats, splines, fastGHQuad, mnormt, parallel, coda
Published: 2015-08-02
Author: Arnošt Komárek
Maintainer: Arnošt Komárek <arnost.komarek at mff.cuni.cz>
BugReports: NA
License: GPL (≥ 3)
URL: http://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_4.2.tar.gz
Windows binaries: r-devel: mixAK_4.2.zip, r-release: mixAK_4.2.zip, r-oldrel: mixAK_4.2.zip
OS X Mavericks binaries: r-release: not available, r-oldrel: not available
Old sources: mixAK archive

Reverse dependencies:

Reverse suggests: miscF