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: | 1.20 |
Depends: | R (≥ 2.3.12), cluster |
Published: | 2014-09-14 |
Author: | E. Andres Houseman, Sc.D. and Devin C. Koestler, Ph.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 |
Reference manual: | RPMM.pdf |
Package source: | RPMM_1.20.tar.gz |
Windows binaries: | r-devel: RPMM_1.20.zip, r-release: RPMM_1.20.zip, r-oldrel: RPMM_1.20.zip |
OS X Mavericks binaries: | r-release: RPMM_1.20.tgz, r-oldrel: RPMM_1.20.tgz |
Old sources: | RPMM archive |
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