Variable Selection for Model-Based Clustering of Continuous, Count, Categorical or Mixed-Type Data Set with Missing Values

Documentation for package ‘VarSelLCM’ version 2.0

VarSelLCM-package	Variable Selection in model-based clustering managed by the Latent Class Model for analysis mixed-type data with missing values.
summary	Summary function.
summary-method	Summary function.
VarSelCluster	This function performs the variable selection and the maximum likelihood estimation of the Latent Class Model
VarSelLCM	Variable Selection in model-based clustering managed by the Latent Class Model for analysis mixed-type data with missing values.
VSLCMcriteria-class	Constructor of ['VSLCMcriteria'] class
VSLCMmodel-class	Constructor of ['VSLCMmodel'] class
VSLCMparamCategorical-class	Constructor of ['VSLCMparamCategorical'] class
VSLCMparamContinuous-class	Constructor of ['VSLCMparamContinuous'] class
VSLCMparamInteger-class	Constructor of ['VSLCMparamInteger'] class
VSLCMparamMixed-class	Constructor of ['VSLCMparamMixed'] class
VSLCMpartitions-class	Constructor of ['VSLCMpartitions'] class
VSLCMresultsCategorical-class	Constructor of ['VSLCMresultsCategorical'] class
VSLCMresultsContinuous-class	Constructor of ['VSLCMresultsContinuous'] class
VSLCMresultsInteger-class	Constructor of ['VSLCMresultsInteger'] class
VSLCMresultsMixed-class	Constructor of ['VSLCMresultsMixed'] class
VSLCMstrategy-class	Constructor of ['VSLCMstrategy'] class