VarSelImputation {VarSelLCM} | R Documentation |
Imputation of missing values
Description
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")
Usage
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)
[Package VarSelLCM version 2.1.3.1 Index]