VarSelImputation {VarSelLCM} | R Documentation |
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")
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" |
# 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)