gen.mcar                Generate missing (completely at random) cells
                        in the dataset
imp.rfemp               Perform multiple imputation based on the
                        empirical error distribution of random forests
imp.rfnode.cond         Perform multiple imputation based on the
                        conditional distribution formed by prediction
                        nodes of random forests
imp.rfnode.prox         Multiple imputation using chained random
                        forests and node proximities
mice.impute.rfemp       Multiple imputation for categorical variables
                        based on predictions of random forest
mice.impute.rfnode      Sampling function for multiple imputation based
                        on predicting nodes of random forests
mice.impute.rfpred.emp
                        Multiple imputation using chained random
                        forests: RfPred.Emp
mice.impute.rfpred.norm
                        Multiple imputation using chained random
                        forests: RfPred.Norm
reg.ests                Get regression estimates for pooled object
