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
NeedsCompilation: no
Packaged: 2024-05-29 09:34:37 UTC; 17245
Repository: CRAN
Date/Publication: 2024-05-30 00:20:08 UTC
Built: R 4.6.0; ; 2026-04-26 20:31:11 UTC; unix
