VarSelLCM: Variable Selection for Model-Based Clustering using the Integrated Complete-Data Likelihood of a Latent Class Model
Version 1.2

Uses a finite mixture model for performing the cluster analysis with variable selection of continuous data by assuming independence between classes. The package deals dataset with missing values by assuming that values are missing at random. The one-dimensional marginals of the components follow Gaussian distributions for facilitating both model interpretation and model selection. The variable selection is led by the Maximum Integrated Complete-Data Likelihood criterion. The maximum likelihood inference is done by an EM algorithm for the selected model. This package also performs the imputation of missing values.

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AuthorMatthieu Marbac and Mohammed Sedki
Date of publication2015-06-10 19:00:07
MaintainerMohammed Sedki <mohammed.sedki@u-psud.fr>
LicenseGPL (>= 2)
Version1.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("VarSelLCM")

Man pages

banknote: Swiss banknotes data
print-methods: Print an object of class VSLCMresults
summary-methods: Produce result summary of a VSLCMresultsContinuous class
VarSeLCluster: VarSelCluster
VarSelImputation: VarSelImputation
VarSelLCM-package: Variable Selection in model-based clustering managed by the...
VSLCMcriteria-class: Class '"VSLCMcriteria"'
VSLCMdataContinuous-class: Class '"VSLCMdataContinuous"'
VSLCMmodel-class: Class '"VSLCMmodel"'
VSLCMparametersContinuous-class: Class '"VSLCMparamContinuous"'
VSLCMpartitions-class: Class '"VSLCMpartitions"'
VSLCMresultsContinuous-class: Class '"VSLCMresultsContinuous"'
VSLCMstrategy-class: Class '"VSLCMstrategy"'

Functions

CheckInputs Source code
ICLcontinuous Source code
ImputCont Source code
IntegreOneVariableContinuous Source code
JustModelStrategy Source code
OptimizeMICL Source code
VSLCMcriteria-class Man page
VSLCMdata Source code
VSLCMdataContinuous-class Man page
VSLCMmodel-class Man page
VSLCMparamContinuous-class Man page
VSLCMpartitions-class Man page
VSLCMresultsContinuous-class Man page
VSLCMstrategy Source code
VSLCMstrategy-class Man page
VarSelCluster Man page Source code
VarSelImputation Man page Source code
VarSelLCM Man page
VarSelLCM-package Man page
banknote Man page
logdinvgamma Source code
print Man page
print,VSLCMresultsContinuous-method Man page
summary Man page
summary,VSLCMresultsContinuous-method Man page

Files

inst
inst/include
inst/include/Algorithm.h
inst/include/ParamContinuous.h
inst/include/DataContinuous.h
inst/include/Data.h
inst/include/XEM.h
inst/include/XEMContinuous.h
inst/include/Param.h
inst/include/AlgorithmContinuous.h
src
src/Makevars
src/AlgorithmContinuous.cpp
src/Algorithm.cpp
src/VarSelLCMmixte.cpp
src/XEM.cpp
src/DataContinuous.cpp
src/XEMContinuous.cpp
src/ParamContinuous.cpp
src/Makevars.win
src/RcppExports.cpp
NAMESPACE
data
data/banknote.rda
R
R/withoutmixture.R
R/DataCstr.R
R/Print.R
R/Imputation.R
R/VarSelLCM.R
R/DesignOutput.R
R/VSLCMGrlClasses.R
R/ICLexact.R
R/RcppExports.R
R/CheckInputs.R
R/Summary.R
MD5
DESCRIPTION
man
man/summary-methods.Rd
man/VSLCMcriteria-class.Rd
man/VarSeLCluster.Rd
man/VSLCMresultsContinuous-class.Rd
man/VarSelImputation.Rd
man/print-methods.Rd
man/VarSelLCM-package.Rd
man/VSLCMstrategy-class.Rd
man/VSLCMmodel-class.Rd
man/banknote.Rd
man/VSLCMparametersContinuous-class.Rd
man/VSLCMdataContinuous-class.Rd
man/VSLCMpartitions-class.Rd
VarSelLCM documentation built on May 19, 2017, 10:15 p.m.