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

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.

Author
Matthieu Marbac and Mohammed Sedki
Date of publication
2015-06-10 19:00:07
Maintainer
Mohammed Sedki <mohammed.sedki@u-psud.fr>
License
GPL (>= 2)
Version
1.2

View on CRAN

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"'

Files in this package

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