Missing Value Imputation using Random Forest for Prediction Settings

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Documentation for package ‘missForestPredict’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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calculate_convergence	Calculates convergence based on NMSE
check_predictor_matrix	Performs checks on a custom predictor matrix
create_predictor_matrix	Creates the default predictor matrix with 0 diagonal and 1 elements in the rest.
evaluate_imputation_error	Evaluate the imputation error when true values are known.
missForest	Imputes a dataframe and returns imputation models to be used on new observations
missForestPredict	Imputes a new dataframe based on the missForest models
produce_NA	Produces a dataframe with missing values
prop_usable_cases	Calculates variable-wise proportion of usable cases (missing and observed)