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:10.1186/1471-2105-12-77

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