profdpm: Profile Inference for Dirichlet Process Mixtures and Other...
In profdpm: Profile Dirichlet Process Mixtures

Description Details Author(s) References

This package facilitates profile inference (inference at the posterior mode) for a class of product partition models (PPM). The Dirichlet process mixture is a specific case in this class and is selected by default. These methods search for the maximum posterior (MAP) estimate for the cluster partition in the PPM.

Package:	profdpm
Type:	Package
Version:	3.3
Date:	2013-05-24
License:	GPL (>=2)
LazyLoad:	yes

Contents

profLinear Linear Product Partition Models
profBinary Binary Product Partition Models
pci Partition Comparison Indices

Matt Shotwell Maintainer: Matt Shotwell <matt.shotwell@vanderbilt.edu>

Matthew S. Shotwell (2013). profdpm: An R Package for MAP Estimation in a Class of Conjugate Product Partition Models. Journal of Statistical Software, 53(8), 1-18. URL http://www.jstatsoft.org/v53/i08/.

profdpm documentation built on May 1, 2019, 10:25 p.m.