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 |