R: Assessment of Diagnostic and Prognostic Markers

# Assessment of Diagnostic and Prognostic Markers

## Documentation for package ‘sMSROC’ version 0.1.3

- DESCRIPTION file

## Help Pages

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