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

Documentation for package ‘VarSelLCM’ version 1.2

VarSelLCM-package	Variable Selection in model-based clustering managed by the Latent Class Model for analyzing continuous data with missing values.
banknote	Swiss banknotes data
print	Print an object of class VSLCMresults
print-method	Print an object of class VSLCMresults
summary	Produce result summary of a VSLCMresultsContinuous class
summary-method	Produce result summary of a VSLCMresultsContinuous class
VarSelCluster	VarSelCluster
VarSelImputation	VarSelImputation
VarSelLCM	Variable Selection in model-based clustering managed by the Latent Class Model for analyzing continuous data with missing values.
VSLCMcriteria-class	Class '"VSLCMcriteria"'
VSLCMdataContinuous-class	Class '"VSLCMdataContinuous"'
VSLCMmodel-class	Class '"VSLCMmodel"'
VSLCMparamContinuous-class	Class '"VSLCMparamContinuous"'
VSLCMpartitions-class	Class '"VSLCMpartitions"'
VSLCMresultsContinuous-class	Class '"VSLCMresultsContinuous"'
VSLCMstrategy-class	Class '"VSLCMstrategy"'