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: 1.10
Depends: R (≥ 2.3.12), cluster
Published: 2012-03-16
Author: E. Andres Houseman, Sc.D.
Maintainer: E. Andres Houseman <andres.houseman at oregonstate.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Cluster, MachineLearning
CRAN checks: RPMM results

Downloads:

Reference manual: RPMM.pdf
Package source: RPMM_1.10.tar.gz
MacOS X binary: RPMM_1.10.tgz
Windows binary: RPMM_1.10.zip
Old sources: RPMM archive