mcclust: Process an MCMC Sample of Clusterings
Version 1.0

Implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.

Package details

AuthorArno Fritsch
Date of publication2012-07-23 10:35:32
MaintainerArno Fritsch <arno.fritsch@tu-dortmund.de>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mcclust")

Try the mcclust package in your browser

Any scripts or data that you put into this service are public.

mcclust documentation built on May 29, 2017, 12:39 p.m.