clustMD: Model Based Clustering for Mixed Data

Model-based clustering of mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using a parsimonious mixture of latent Gaussian variable models.

Version: 1.2.1
Depends: R (≥ 3.3.2)
Imports: ggplot2, mclust, reshape2, MASS, msm, mvtnorm, parallel, truncnorm, viridis, stats
Published: 2017-05-08
Author: Damien McParland [aut, cre], Isobel Claire Gormley [aut]
Maintainer: Damien McParland <damien.mcparland at ucd.ie>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: clustMD results

Documentation:

Reference manual: clustMD.pdf

Downloads:

Package source: clustMD_1.2.1.tar.gz
Windows binaries: r-devel: clustMD_1.2.1.zip, r-release: clustMD_1.2.1.zip, r-oldrel: clustMD_1.2.1.zip
macOS binaries: r-release (arm64): clustMD_1.2.1.tgz, r-release (x86_64): clustMD_1.2.1.tgz, r-oldrel: clustMD_1.2.1.tgz
Old sources: clustMD archive

Reverse dependencies:

Reverse suggests: kamila, MoEClust

Linking:

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