R: Methods for Missing Data

# Methods for Missing Data

## Documentation for package ‘missMethods’ version 0.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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_expected_values | Impute expected values
impute_hot_deck_in_classes | Hot deck imputation in imputation classes
impute_in_classes | Impute in classes
impute_LS_adaptive | LSimpute_adaptive
impute_LS_array | LSimpute_array
impute_LS_combined | LSimpute_combined
impute_LS_gene | LSimpute_gene
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