apply_imputation        Apply a function for imputation
count_NA                Count the number of 'NA's
delete_MAR_1_to_x       Create MAR values using MAR1:x
delete_MAR_censoring    Create MAR values using a censoring mechanism
delete_MAR_one_group    Create MAR values by deleting values in one of
                        two groups
delete_MAR_rank         Create MAR values using a ranking mechanism
delete_MCAR             Create MCAR values
delete_MNAR_1_to_x      Create MNAR values using MNAR1:x
delete_MNAR_censoring   Create MNAR values using a censoring mechanism
delete_MNAR_one_group   Create MNAR values by deleting values in one of
                        two groups
delete_MNAR_rank        Create MNAR values using a ranking mechanism
evaluate_imputation_parameters
                        Evaluate estimated parameters after imputation
evaluate_imputed_values
                        Evaluate imputed values
evaluate_parameters     Evaluate estimated parameters
impute_EM               EM imputation
impute_LS_adaptive      LSimpute_adaptive
impute_LS_array         LSimpute_array
impute_LS_combined      LSimpute_combined
impute_LS_gene          LSimpute_gene
impute_expected_values
                        Impute expected values
impute_hot_deck_in_classes
                        Hot deck imputation in imputation classes
impute_in_classes       Impute in classes
impute_mean             Mean imputation
impute_median           Median imputation
impute_mode             Mode imputation
impute_sRHD             Simple random hot deck imputation
median.factor           Median for ordered factors
