Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values


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Documentation for package ‘VarSelLCM’ version 2.1.3.1

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VarSelLCM-package Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values
AIC AIC criterion.
AIC-method AIC criterion.
ARI Adjusted Rand Index
BIC BIC criterion.
BIC-method BIC criterion.
coef Extract the parameters
coef-method Extract the parameters
coefficients Extract the parameters
coefficients-method Extract the parameters
fitted Extract the partition or the probabilities of classification
fitted-method Extract the partition or the probabilities of classification
fitted.values Extract the partition or the probabilities of classification
fitted.values-method Extract the partition or the probabilities of classification
heart Statlog (Heart) Data Set
ICL ICL criterion
MICL MICL criterion
plot Plots of an instance of 'VSLCMresults'
plot-method Plots of an instance of 'VSLCMresults'
predict Prediction of the cluster memberships
predict-method Prediction of the cluster memberships
print Print function.
print-method Print function.
summary Summary function.
summary-method Summary function.
VarSelCluster Variable selection and clustering.
VarSelImputation Imputation of missing values
VarSelLCM Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values
VarSelShiny Shiny app for analyzing results from VarSelCluster
VSLCMcriteria-class Constructor of 'VSLCMcriteria' class
VSLCMdata-class Constructor of 'VSLCMdata' class
VSLCMmodel-class Constructor of 'VSLCMmodel' class
VSLCMparam-class Constructor of 'VSLCMparam' class
VSLCMparamCategorical-class Constructor of 'VSLCMparamCategorical' class
VSLCMparamContinuous-class Constructor of 'VSLCMparamContinuous' class
VSLCMparamInteger-class Constructor of 'VSLCMparamInteger' class
VSLCMpartitions-class Constructor of 'VSLCMpartitions' class
VSLCMresults-class Constructor of 'VSLCMresults' class
VSLCMstrategy-class Constructor of 'VSLCMstrategy' class