mixture: Mixture Models for Clustering and Classification

An implementation of all 14 Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model-based classification.

AuthorRyan P. Browne, Aisha ElSherbiny and Paul D. McNicholas
Date of publication2016-12-27 15:28:19
MaintainerRyan Browne <rbrowne@math.mcmaster.ca>
LicenseGPL (>= 2)
Version1.4

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Files in this package

mixture
mixture/inst
mixture/inst/CITATION
mixture/src
mixture/src/Makevars
mixture/src/mixture.c
mixture/src/functions.h
mixture/src/zeroin.h
mixture/NAMESPACE
mixture/data
mixture/data/x2.rda
mixture/R
mixture/R/mixture.R
mixture/MD5
mixture/DESCRIPTION
mixture/ChangeLog
mixture/man
mixture/man/gpcm.Rd mixture/man/mixture.Rd mixture/man/m.step.Rd mixture/man/e.step.Rd mixture/man/x2.Rd

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

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