Package: pivmet 0.6.0

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>.

Authors:Leonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco Pauli[aut], Nicola Torelli[aut]

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pivmet.pdf |pivmet.html✨
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NEWS

# Install 'pivmet' in R:
install.packages('pivmet', repos = c('https://leoegidi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/leoegidi/pivmet/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

6.05 score 5 stars 25 scripts 622 downloads 7 exports 68 dependencies

Last updated 5 months agofrom:b24582227a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winNOTENov 10 2024
R-4.5-linuxNOTENov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:MUSpiv_KMeanspiv_MCMCpiv_plotpiv_relpiv_selpiv_sim

Dependencies:abindbackportsbayesmixbayesplotBHcallrcheckmatecliclustercodacolorspacecorpcordescdistributionaldplyrfansifarvergenericsggplot2ggridgesgluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmclustmgcvmunsellmvtnormnlmenumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rjagsrlangrstanrunjagsscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr

Dealing with label switching: relabelling in Bayesian mixture models by pivotal units

Leonardo Egidi

Rendered fromRelabelling_in_Bayesian_mixtures_by_pivotal_units.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2023-02-22
Started: 2018-08-25

K-means clustering using MUS and other pivotal algorithms

Leonardo Egidi

Rendered fromK-means_clustering_using_the_MUS_algorithm.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2021-04-28
Started: 2018-08-27