teigen: Model-Based Clustering and Classification with the Multivariate t Distribution

Fits mixtures of multivariate t-distributions (with eigen-decomposed covariance structure) via the expectation conditional-maximization algorithm under a clustering or classification paradigm.

Version: 2.2.2
Imports: parallel
Published: 2018-02-15
DOI: 10.32614/CRAN.package.teigen
Author: Jeffrey L. Andrews, Jaymeson R. Wickins, Nicholas M. Boers, Paul D. McNicholas
Maintainer: Jeffrey L. Andrews <jeff.andrews at ubc.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: teigen citation info
Materials: ChangeLog
In views: Cluster
CRAN checks: teigen results


Reference manual: teigen.pdf


Package source: teigen_2.2.2.tar.gz
Windows binaries: r-devel: teigen_2.2.2.zip, r-release: teigen_2.2.2.zip, r-oldrel: teigen_2.2.2.zip
macOS binaries: r-release (arm64): teigen_2.2.2.tgz, r-oldrel (arm64): teigen_2.2.2.tgz, r-release (x86_64): teigen_2.2.2.tgz, r-oldrel (x86_64): teigen_2.2.2.tgz
Old sources: teigen archive

Reverse dependencies:

Reverse imports: vscc


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