Package: pivmet
Type: Package
Title: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Version: 0.6.0
Date: 2024-05-22
Author: Leonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco
        Pauli[aut], Nicola Torelli[aut]
Maintainer: Leonardo Egidi <legidi@units.it>
License: GPL-2
Description: 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>.
URL: https://github.com/leoegidi/pivmet
Encoding: UTF-8
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
Depends: R (>= 3.1.0)
Imports: cluster, mclust, MASS, corpcor, runjags, rstan, bayesmix,
        rjags, mvtnorm, bayesplot, scales
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 7.3.1
BuildManual: yes
Config/pak/sysreqs: make jags libicu-dev
Repository: https://leoegidi.r-universe.dev
Date/Publication: 2024-06-12 15:38:26 UTC
RemoteUrl: https://github.com/leoegidi/pivmet
RemoteRef: HEAD
RemoteSha: b24582227acd191bce35d17b6721ddf4ec36bbee
NeedsCompilation: no
Packaged: 2026-06-11 09:54:39 UTC; root