Package: pivmet 0.6.0
Leonardo Egidi
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:
pivmet_0.6.0.tar.gz
pivmet_0.6.0.tar.gz(r-4.5-noble)pivmet_0.6.0.tar.gz(r-4.4-noble)
pivmet_0.6.0.tgz(r-4.4-emscripten)pivmet_0.6.0.tgz(r-4.3-emscripten)
pivmet.pdf |pivmet.html✨
pivmet/json (API)
NEWS
| # Install 'pivmet' in R: |
| install.packages('pivmet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/leoegidi/pivmet/issues
Last updated 7 months agofrom:2503fcace7. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 26 2024 |
| R-4.5-linux | OK | Dec 26 2024 |
Exports:MUSpiv_KMeanspiv_MCMCpiv_plotpiv_relpiv_selpiv_sim
Dependencies:abindbackportsbayesmixbayesplotBHcallrcheckmatecliclustercodacolorspacecorpcordescdistributionaldplyrfansifarvergenericsggplot2ggridgesgluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmclustmgcvmunsellmvtnormnlmenumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rjagsrlangrstanrunjagsscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr
Dealing with label switching: relabelling in Bayesian mixture models by pivotal units
Rendered fromRelabelling_in_Bayesian_mixtures_by_pivotal_units.Rmdusingknitr::rmarkdownon Dec 26 2024.Last update: 2023-02-22
Started: 2018-11-19
K-means clustering using MUS and other pivotal algorithms
Rendered fromK-means_clustering_using_the_MUS_algorithm.Rmdusingknitr::rmarkdownon Dec 26 2024.Last update: 2021-04-30
Started: 2018-11-19
