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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-release: RPMM_1.25.zip, r-oldrel: RPMM_1.25.zip |
| macOS binaries: | r-release (arm64): RPMM_1.25.tgz, r-oldrel (arm64): RPMM_1.25.tgz, r-release (x86_64): RPMM_1.25.tgz, r-oldrel (x86_64): RPMM_1.25.tgz |
| Old sources: | RPMM archive |
| Reverse imports: | ENmix, EpiMix, MEAT, methylclock, MethylMix |
| Reverse suggests: | RnBeads, sesame, wateRmelon |
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These binaries (installable software) and packages are in development.
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