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 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). 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: 2026-10-16 08:45:44 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2024-05-30 02:42:03 UTC RemoteUrl: https://github.com/cran/pivmet RemoteRef: HEAD RemoteSha: 2503fcace74f50d691f5e819185cc40ba8e249a5