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.

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
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mcclust")

Getting started

Package overview

Popular man pages

cls.draw2: Sample of Clusterings from Posterior Distribution of Bayesian...
maxpear: Maximize/Compute Posterior Expected Adjusted Rand Index
mcclust-package: Process MCMC Sample of Clusterings.
medv: Clustering Method of Medvedovic
minbinder: Minimize/Compute Posterior Expectation of Binders Loss...
relabel: Stephens' Relabelling Algorithm for Clusterings
vi.dist: Variation of Information Distance for Clusterings
See all...

All man pages Function index File listing

Man pages

arandi: (Adjusted) Rand Index for Clusterings
cls.draw1.5: Sample of Clusterings from Posterior Distribution of Bayesian...
cls.draw2: Sample of Clusterings from Posterior Distribution of Bayesian...
cltoSim: Compute Similarity Matrix for a Clustering and vice versa
comp.psm: Estimate Posterior Similarity Matrix
maxpear: Maximize/Compute Posterior Expected Adjusted Rand Index
mcclust-package: Process MCMC Sample of Clusterings.
medv: Clustering Method of Medvedovic
minbinder: Minimize/Compute Posterior Expectation of Binders Loss...
norm.label: Norm Labelling of a Clustering
relabel: Stephens' Relabelling Algorithm for Clusterings
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

Functions

Files

MD5
R
R/pear.R
R/comp.psm.R
R/binder.R
R/mcclust-internal.R
R/maxpear.R
R/cltoSim.R
R/minbinder.R
R/arandi.R
R/medv.R
R/laugreen.R
R/vi.dist.R
R/norm.label.R
R/relabel.R
R/Simtocl.R
man
man/medv.Rd
man/minbinder.Rd
man/cltoSim.Rd
man/norm.label.Rd
man/cls.draw1.5.Rd
man/mcclust-package.Rd
man/Ysim1.5.Rd
man/arandi.Rd
man/cls.draw2.Rd
man/vi.dist.Rd
man/comp.psm.Rd
man/relabel.Rd
man/Ysim2.Rd
man/maxpear.Rd
src
src/comp_psm.c
NAMESPACE
DESCRIPTION
data
data/cls.draw2.RData
data/cls.draw1.5.RData
data/Ysim1.5.RData
data/Ysim2.RData
mcclust documentation built on May 19, 2017, 10:36 a.m.

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