smdi_asmd               Computes mean/median absolute standardized mean
                        differences between observed and missing
                        observations
smdi_check_covar        This is a utility function to help check input
                        data and covariates provided
smdi_data               smdi exemplary lung cancer dataset
smdi_data_complete      smdi exemplary lung cancer dataset (with
                        complete data)
smdi_diagnose           Computes three group missing data summary
                        diagnostics
smdi_hotelling          Computes hotelling's multivariate t-test
smdi_little             Computes Little's test
smdi_na_indicator       Create binary missing indicator variables by
                        two different strategies
smdi_outcome            Computes association between missingness and
                        outcome
smdi_rf                 Computes random forest-based AUC
smdi_style_gt           Takes an object of class smdi and styles it to
                        a publication-ready gt table
smdi_summarize          Utility helper to give a light summary of
                        partially observed covariates
smdi_vis                Quick ggplot2 barchart visualization of
                        partially observed/missing variables
