pgmm: Parsimonious Gaussian Mixture Models

Carries out model-based clustering or classification using parsimonious Gaussian mixture models.

AuthorPaul D. McNicholas [aut, cre], Aisha ElSherbiny [aut], K. Raju Jampani [ctb], Aaron F. McDaid [aut], T. Brendan Murphy [aut], Larry Banks [ctb]
Date of publication2015-04-28 06:58:03
MaintainerPaul D. McNicholas <mcnicholas@math.mcmaster.ca>
LicenseGPL (>= 2)
Version1.2

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Files in this package

pgmm
pgmm/src
pgmm/src/Makevars
pgmm/src/functions.h
pgmm/src/pgmm.c
pgmm/src/updates.c
pgmm/src/gaussj.c
pgmm/src/aecm.c
pgmm/NAMESPACE
pgmm/data
pgmm/data/coffee.rda
pgmm/data/olive.rda
pgmm/data/wine.rda
pgmm/R
pgmm/R/pgmmEM.R
pgmm/MD5
pgmm/DESCRIPTION
pgmm/ChangeLog
pgmm/man
pgmm/man/wine.Rd pgmm/man/olive.Rd pgmm/man/pgmm.Rd pgmm/man/coffee.Rd pgmm/man/pgmmEM.Rd

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