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
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

Documentation:

Reference manual:

teigen.pdf

Downloads:

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

Linking:

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