mixture: 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: 1.1
Published: 2014-07-12
Author: Ryan P. Browne and Paul D. McNicholas
Maintainer: Ryan Browne <rbrowne at math.mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: mixture citation info
Materials: ChangeLog
In views: Cluster
CRAN checks: mixture results


Reference manual: mixture.pdf
Package source: mixture_1.1.tar.gz
Windows binaries: r-devel: mixture_1.1.zip, r-release: mixture_1.1.zip, r-oldrel: mixture_1.1.zip
OS X Snow Leopard binaries: r-release: mixture_1.1.tgz, r-oldrel: mixture_1.1.tgz
OS X Mavericks binaries: r-release: mixture_1.1.tgz
Old sources: mixture archive

Reverse dependencies:

Reverse imports: flexCWM, pmcgd