RPMM: Recursively Partitioned Mixture Model

Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures. This is a model-based clustering algorithm that returns a hierarchy of classes, similar to hierarchical clustering, but also similar to finite mixture models.

Version: 1.25
Depends: R (≥ 2.3.12), cluster
Published: 2017-02-28
Author: E. Andres Houseman, Sc.D. and Devin C. Koestler, Ph.D.
Maintainer: E. Andres Houseman <eahouseman at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Cluster, MachineLearning
CRAN checks: RPMM results


Reference manual: RPMM.pdf
Package source: RPMM_1.25.tar.gz
Windows binaries: r-devel: RPMM_1.25.zip, r-devel-gcc8: RPMM_1.25.zip, r-release: RPMM_1.25.zip, r-oldrel: RPMM_1.25.zip
OS X binaries: r-release: RPMM_1.25.tgz, r-oldrel: RPMM_1.25.tgz
Old sources: RPMM archive


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