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>.

Getting started

Package details

AuthorPaul D. McNicholas [aut, cre] (<https://orcid.org/0000-0002-2482-523X>), Aisha ElSherbiny [aut], K. Raju Jampani [ctb], Aaron F. McDaid [aut], T. Brendan Murphy [aut], Larry Banks [ctb]
MaintainerPaul D. McNicholas <mcnicholas@math.mcmaster.ca>
LicenseGPL (>= 2)
Version1.2.7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pgmm")

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pgmm documentation built on Sept. 26, 2023, 1:06 a.m.