| 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 |
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