This package facilitates profile inference (inference at the posterior mode) for a class of product partition models (PPM). The Dirichlet process mixture is currently the only available member of this class. These methods search for the maximum posterior (MAP) estimate for the data partition in a PPM.
| Version: | 3.3 |
| Published: | 2013-05-25 |
| Author: | Matt Shotwell |
| Maintainer: | Matt Shotwell <matt.shotwell at vanderbilt.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | profdpm citation info |
| In views: | Bayesian, Cluster |
| CRAN checks: | profdpm results |
| Reference manual: | profdpm.pdf |
| Vignettes: |
profdpm |
| Package source: | profdpm_3.3.tar.gz |
| Windows binaries: | r-devel: profdpm_3.3.zip, r-release: profdpm_3.3.zip, r-oldrel: profdpm_3.3.zip |
| OS X Snow Leopard binaries: | r-release: profdpm_3.3.tgz, r-oldrel: profdpm_3.3.tgz |
| OS X Mavericks binaries: | r-release: profdpm_3.3.tgz |
| Old sources: | profdpm archive |
| Reverse suggests: | dendextend |