mixture: Mixture Models for Clustering and Classification
Version 1.4

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

Browse man pages Browse package API and functions Browse package files

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
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mixture")

Man pages

e.step: E-Step
gpcm: Gaussian Parsimonious Clustering Models
mixture: Mixture Models for Clustering and Classification
m.step: M-Step
x2: Simulated Data

Functions

EM Source code
EMn Source code
EMp1 Source code
EMv Source code
MAP Source code
combinewk Source code
e.step Man page Source code
getA Source code
getEkOk Source code
getOk Source code
gpcm Man page Source code
igpar_1 Source code
igpark Source code
igparv Source code
loglik Source code
m.step Man page Source code
mixture Man page
model.type Source code
msEEE Source code
msEEI Source code
msEEV Source code
msEII Source code
msEVE Source code
msEVI Source code
msEVV Source code
msVEE Source code
msVEI Source code
msVEV Source code
msVII Source code
msVVE Source code Source code
msVVI Source code
msVVV Source code
ncovpar Source code
newD Source code
newD3.MM Source code
newD4.MM Source code
npar.model Source code
plot.gpcm Source code
print.gpcm Source code
rgpar Source code
run_em Source code
rwgpar Source code
sumSk.wt Source code
summary.gpcm Source code
testgrad.D Source code
testval Source code
weights Source code
x2 Man page

Files

inst
inst/CITATION
src
src/Makevars
src/mixture.c
src/functions.h
src/zeroin.h
NAMESPACE
data
data/x2.rda
R
R/mixture.R
MD5
DESCRIPTION
ChangeLog
man
man/gpcm.Rd
man/mixture.Rd
man/m.step.Rd
man/e.step.Rd
man/x2.Rd
mixture documentation built on May 19, 2017, 7:42 a.m.