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 |