missForestPredict (version 1.0)
Missing Value Imputation using Random Forest for Prediction
Settings
Description
Missing data imputation based on the 'missForest' algorithm (Stekhoven, Daniel J (2012) )
with adaptations for prediction settings. The function missForest() is used
to impute a (training) dataset with missing values and to learn imputation
models that can be later used for imputing new observations.
The function missForestPredict() is used to impute one or multiple new
observations (test set) using the models learned on the training data.