| 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.time | Check time |
| 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 | Exploratory data analysis |
| explore.plot | Graphical exploratory data analysis |
| 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) |
| probs.pred | Plot of the predictive model |
| 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 |
| sMSROC | sMS ROC curve estimator computation |
| sMSROC.plot | Plot of the sMS ROC curve estimate |
| variance.probs | Variance of the predictive model |