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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:

Please use the canonical form https://CRAN.R-project.org/package=clustMD to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.