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
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.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

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