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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:

Please use the canonical formhttps://CRAN.R-project.org/package=pivmetto link to this page.


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