mcclust: Process an MCMC Sample of Clusterings

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
MaintainerArno Fritsch <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mcclust documentation built on May 29, 2017, 12:39 p.m.