Table 2 

Functions provided in pROC 

are.paired 
Determines if two ROC curves are possibly paired 


auc 
Computes the area under the ROC curve 


ci 
Computes the confidence interval of a ROC curve 


ci.auc 
Computes the confidence interval of the AUC 


ci.se 
Computes the confidence interval of sensitivities at given specificities 


ci.sp 
Computes the confidence interval of specificities at given sensitivities 


ci.thresholds 
Computes the confidence interval of thresholds 


coords 
Returns the coordinates (sensitivities, specificities, thresholds) of a ROC curve 


roc 
Builds a ROC curve 


roc.test 
Compares the AUC of two correlated ROC curves 


smooth 
Smoothes a ROC curve 


Robin et al. BMC Bioinformatics 2011 12:77 doi:10.1186/147121051277 