The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.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:

Please use the canonical form https://CRAN.R-project.org/package=cmbClust 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.