VarSelImputation function

Imputation of missing values

This function permits imputation of missing values in a dataset by using mixture model. Two methods can be used for imputation:

• posterior mean (method="postmean")
• sampling from the full conditionnal distribution (method="sampling")

VarSelImputation(obj, newdata, method = "postmean")

Arguments

• obj: an instance of VSLCMresults which defines the model used for imputation.
• newdata: data.frame Dataset containing the missing values to impute.
• method: character definiting the method of imputation: "postmean" or "sampling"

Examples

# Data loading
data("heart")

# Clustering en 2 classes
results <- VarSelCluster(heart[,-13], 2)

# Data where missing values will be imputed
newdata <- heart[1:2,-13]
newdata[1,1] <- NA
newdata[2,2] <- NA

# Imputation
VarSelImputation(results, newdata)