Implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.
Version: 1.0.1 Depends: R (≥ 2.10), lpSolve Published: 2022-05-02 DOI: 10.32614/CRAN.package.mcclust Author: Arno Fritsch Maintainer: Arno Fritsch <arno.fritsch at tu-dortmund.de> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes In views: Cluster CRAN checks: mcclust results Documentation: Reference manual: mcclust.html , mcclust.pdf Downloads: Package source: mcclust_1.0.1.tar.gz Windows binaries: r-devel: mcclust_1.0.1.zip, r-release: mcclust_1.0.1.zip, r-oldrel: mcclust_1.0.1.zip macOS binaries: r-release (arm64): mcclust_1.0.1.tgz, r-oldrel (arm64): mcclust_1.0.1.tgz, r-release (x86_64): mcclust_1.0.1.tgz, r-oldrel (x86_64): mcclust_1.0.1.tgz Old sources: mcclust archive Reverse dependencies: Reverse depends: BClustLonG, CSclone Reverse imports: AntMAN, clustAnalytics, MitoHEAR, multilink, semiArtificial, VICatMix Reverse suggests: IMIFA, mixdir, tip Linking:Please use the canonical form https://CRAN.R-project.org/package=mcclust to link to this page.
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