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: 1.0
Published: 2013-03-09
Author: Ryan P. Browne and Paul D. McNicholas
Maintainer: Ryan Browne <rbrowne at uoguelph.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: mixture citation info
In views: Cluster
CRAN checks: mixture results


Reference manual: mixture.pdf
Package source: mixture_1.0.tar.gz
MacOS X binary: mixture_1.0.tgz
Windows binary: mixture_1.0.zip

Reverse dependencies:

Reverse imports: flexCWM, pmcgd