Function reference • smdi

All functions

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