cmbClust: Conditional Mixture Modeling and Model-Based Clustering

Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.

Version:	0.0.1
Depends:	R (≥ 3.5.0)
Imports:	stats, parallel
Published:	2022-11-03
DOI:	10.32614/CRAN.package.cmbClust
Author:	Yang Wang [aut, cre], Volodymyr Melnykov [aut], Stephen Moshier [ctb] (eigenvalue calculations in c), Rouben Rostamian [ctb] (memory allocation in c)
Maintainer:	Yang Wang <wangy4 at cofc.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	cmbClust results

Documentation:

Reference manual:

cmbClust.html , cmbClust.pdf

Downloads:

Package source:	cmbClust_0.0.1.tar.gz
Windows binaries:	r-devel: cmbClust_0.0.1.zip, r-release: cmbClust_0.0.1.zip, r-oldrel: cmbClust_0.0.1.zip
macOS binaries:	r-release (arm64): cmbClust_0.0.1.tgz, r-oldrel (arm64): cmbClust_0.0.1.tgz, r-release (x86_64): cmbClust_0.0.1.tgz, r-oldrel (x86_64): cmbClust_0.0.1.tgz

Linking:

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