mixture: Finite Gaussian Mixture Models for Clustering and Classification

An implementation of all 14 Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model-based classification.

Version: 1.5
Published: 2018-02-13
Author: Ryan P. Browne, Aisha ElSherbiny and Paul D. McNicholas
Maintainer: Ryan Browne <rbrowne at math.mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: mixture citation info
Materials: ChangeLog
In views: Cluster
CRAN checks: mixture results

Downloads:

Reference manual: mixture.pdf
Package source: mixture_1.5.tar.gz
Windows binaries: r-prerel: mixture_1.5.zip, r-release: mixture_1.5.zip, r-oldrel: mixture_1.5.zip
OS X binaries: r-prerel: mixture_1.5.tgz, r-release: mixture_1.5.tgz
Old sources: mixture archive

Reverse dependencies:

Reverse imports: Compositional, ContaminatedMixt, MixGHD, pmcgd

Linking:

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