mlim (version 0.3.0)

mlim.summarize: mlim imputation summary

Description

provides information about estimated accuracy of the imputation as well as the overall procedure of the imputation.

Usage

mlim.summarize(data)

Value

estimated imputation accuracy via cross-valdiation procedure

Arguments

data

dataset imputed with mlim

Author

E. F. Haghish

Examples

if (FALSE) {
data(iris)

# add 10% stratified missing values to one factor variable
irisNA <- iris
irisNA$Species <- mlim.na(irisNA$Species, p = 0.1, stratify = TRUE, seed = 2022)

# run the ELNET single imputation (fastest imputation via 'mlim')
MLIM <- mlim(irisNA)

# in single imputation, you can estimate the imputation accuracy via cross validation RMSE
mlim.summarize(MLIM)
}