pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering

Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models; fitting sparse finite mixtures; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà, Pauli and Torelli (2018b)<ISBN:9788891910233>.

Version:	0.6.0
Depends:	R (≥ 3.1.0)
Imports:	cluster, mclust, MASS, corpcor, runjags, rstan, bayesmix, rjags, mvtnorm, bayesplot, scales
Suggests:	knitr, rmarkdown, testthat
Published:	2024-05-30
DOI:	10.32614/CRAN.package.pivmet
Author:	Leonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco Pauli[aut], Nicola Torelli[aut]
Maintainer:	Leonardo Egidi <legidi at units.it>
License:	GPL-2
URL:	https://github.com/leoegidi/pivmet
NeedsCompilation:	no
SystemRequirements:	pandoc (>= 1.12.3), pandoc-citeproc
Materials:	README, NEWS
CRAN checks:	pivmet results

Documentation:

Reference manual:	pivmet.html , pivmet.pdf
Vignettes:	K-means clustering using MUS and other pivotal algorithms (source, R code) Dealing with label switching: relabelling in Bayesian mixture models by pivotal units (source, R code)

Downloads:

Package source:	pivmet_0.6.0.tar.gz
Windows binaries:	r-devel: pivmet_0.6.0.zip, r-release: pivmet_0.6.0.zip, r-oldrel: pivmet_0.6.0.zip
macOS binaries:	r-release (arm64): pivmet_0.6.0.tgz, r-oldrel (arm64): pivmet_0.6.0.tgz, r-release (x86_64): pivmet_0.6.0.tgz, r-oldrel (x86_64): pivmet_0.6.0.tgz
Old sources:	pivmet archive

Linking:

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