Crandore Hub

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.

Versions across snapshots

VersionRepositoryFileSize
1.0.1 2026-04-09 windows/windows R-4.5 mcclust_1.0.1.zip 185.5 KiB

Dependencies (latest)

Depends