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; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution.

Version: 0.1.0
Depends: bayesmix, rjags, runjags, mvtnorm, RcmdrMisc
Imports: cluster, mclust, MASS
Suggests: knitr
Published: 2018-11-19
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
Materials: README
CRAN checks: pivmet results

Downloads:

Reference manual: pivmet.pdf
Vignettes: Vignette Title
Vignette Title
Package source: pivmet_0.1.0.tar.gz
Windows binaries: r-devel: pivmet_0.1.0.zip, r-release: pivmet_0.1.0.zip, r-oldrel: pivmet_0.1.0.zip
OS X binaries: r-release: pivmet_0.1.0.tgz, r-oldrel: pivmet_0.1.0.tgz

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