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
DOI:	10.32614/CRAN.package.clustMD
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-oldrel (arm64): clustMD_1.2.1.tgz, r-release (x86_64): clustMD_1.2.1.tgz, r-oldrel (x86_64): clustMD_1.2.1.tgz
Old sources:	clustMD archive

Reverse dependencies:

Reverse suggests:

kamila, MoEClust

Linking:

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