Process an MCMC Sample of Clusterings

---

Documentation for package ‘mcclust’ version 1.0.1

• DESCRIPTION file.

Help Pages

mcclust-package	Process MCMC Sample of Clusterings.
arandi	(Adjusted) Rand Index for Clusterings
binder	Minimize/Compute Posterior Expectation of Binders Loss Function
cls.draw1.5	Sample of Clusterings from Posterior Distribution of Bayesian Cluster Model
cls.draw2	Sample of Clusterings from Posterior Distribution of Bayesian Cluster Model
cltoSim	Compute Similarity Matrix for a Clustering and vice versa
comp.psm	Estimate Posterior Similarity Matrix
laugreen	Minimize/Compute Posterior Expectation of Binders Loss Function
maxpear	Maximize/Compute Posterior Expected Adjusted Rand Index
mcclust	Process MCMC Sample of Clusterings.
medv	Clustering Method of Medvedovic
minbinder	Minimize/Compute Posterior Expectation of Binders Loss Function
norm.label	Norm Labelling of a Clustering
pear	Maximize/Compute Posterior Expected Adjusted Rand Index
relabel	Stephens' Relabelling Algorithm for Clusterings
Simtocl	Compute Similarity Matrix for a Clustering and vice versa
vi.dist	Variation of Information Distance for Clusterings
Ysim1.5	Simulated 3-dimensional Normal Data Containing 8 Clusters
Ysim2	Simulated 3-dimensional Normal Data Containing 8 Clusters