pgmm: Parsimonious Gaussian Mixture Models

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

Install the latest version of this package by entering the following in R:
install.packages("pgmm")
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

View on CRAN

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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