R: Missing Value Imputation using Random Forest for Prediction Settings

# Missing Value Imputation using Random Forest for Prediction Settings

## Documentation for package ‘missForestPredict’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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)