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pgmm: Parsimonious Gaussian Mixture Models

Carries out model-based clustering or classification using parsimonious Gaussian mixture models. McNicholas and Murphy (2008) <doi:10.1007/s11222-008-9056-0>, McNicholas (2010) <doi:10.1016/j.jspi.2009.11.006>, McNicholas and Murphy (2010) <doi:10.1093/bioinformatics/btq498>, McNicholas et al. (2010) <doi:10.1016/j.csda.2009.02.011>.

Version: 1.2.7
Published: 2023-09-25
DOI: 10.32614/CRAN.package.pgmm
Author: Paul D. McNicholas ORCID iD [aut, cre], Aisha ElSherbiny [aut], K. Raju Jampani [ctb], Aaron F. McDaid [aut], T. Brendan Murphy [aut], Larry Banks [ctb]
Maintainer: Paul D. McNicholas <mcnicholas at math.mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: pgmm results

Documentation:

Reference manual: pgmm.pdf

Downloads:

Package source: pgmm_1.2.7.tar.gz
Windows binaries: r-devel: pgmm_1.2.7.zip, r-release: pgmm_1.2.7.zip, r-oldrel: pgmm_1.2.7.zip
macOS binaries: r-release (arm64): pgmm_1.2.7.tgz, r-oldrel (arm64): pgmm_1.2.7.tgz, r-release (x86_64): pgmm_1.2.7.tgz, r-oldrel (x86_64): pgmm_1.2.7.tgz
Old sources: pgmm archive

Reverse dependencies:

Reverse imports: bpgmm, lnmCluster

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pgmm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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