profdpm: Profile Dirichlet Process Mixtures

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>
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:, r-release:, r-oldrel:
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 dependencies:

Reverse suggests: dendextend