mixAK: Multivariate normal mixture models and mixtures of generalized linear mixed models including model based clustering

This package 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: 3.5
Depends: R (≥ 3.0.0), colorspace
Imports: splines, lme4 (≥ 1.0), fastGHQuad, mnormt, parallel
Published: 2013-09-23
Author: Arnošt Komárek
Maintainer: Arnošt Komárek <arnost.komarek at mff.cuni.cz>
License: GPL (≥ 3)
URL: http://msekce.karlin.mff.cuni.cz/~komarek
NeedsCompilation: yes
Materials: NEWS
In views: Cluster, Survival
CRAN checks: mixAK results

Downloads:

Reference manual: mixAK.pdf
Package source: mixAK_3.5.tar.gz
OS X binary: not available (package either new or excluded from build, see excludes).
Windows binary: mixAK_3.5.zip
Old sources: mixAK archive

Reverse dependencies:

Reverse suggests: miscF