| auc_ci_boot | Confidence intervals for the AUC (bootstrap) | 
| auc_ci_empr | Confidence intervals for the AUC (empirical variance estimation) | 
| auc_ci_nvar | Confidence intervals for the AUC (theoretical variance estimation) | 
| check_ci_cl | Check confidence level for AUC's confidence intervals | 
| check_conf_int | Checks for parameters to compute the confidence intervals for the AUC | 
| check_grid | Check grid | 
| check_marker_binout | Checks of diagnosis scenarios | 
| check_marker_timeic | Check of prognosis scenarios under interval censorship | 
| check_marker_timerc | Check of prognosis scenarios under right censorship | 
| check_meth | Check the method for estimating the predictive model | 
| check_nboots | Check number of bootstrap samples | 
| check_ncpus | Check number of CPUs | 
| check_tim | Check tim | 
| check_type_outcome | Check the type of scenario (diagnosis/prognosis) | 
| compute_ROC | Weighted empirical ROC curve estimator | 
| conf_int_print | AUC and confidence intervals | 
| diabet | Diabetes dataset | 
| evol_auc | Evolution of the AUCs | 
| explore_plot | Graphical exploratory data analysis | 
| explore_table | Exploratory data analysis | 
| fibrosis | Fibrosis dataset | 
| ktfs | KTFS dataset | 
| pred_model_binout | Predictive model estimation in diagnosis scenarios | 
| pred_model_emp | Predictive model (naive estimation) | 
| pred_model_timeic | Predictive model in prognosis scenarios (I) | 
| pred_model_timerc | Predictive model in prognosis scenarios (II) | 
| print.sMSROC | Print sMSROC | 
| probs_pred | Plot of the predictive model | 
| sMSROC | sMS ROC curve estimator computation | 
| sMSROC_plot | Plot of the sMS ROC curve estimate | 
| sMS_binout | sMS estimator for diagnostic biomarkers | 
| sMS_timeic | sMS estimator for prognostic biomarkers and interval censoring | 
| sMS_timerc | sMS estimator for prognostic biomarkers and right censorship | 
| variance_probs | Variance of the predictive model |