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Table 2 Functions provided in pROC

From: pROC: an open-source package for R and S+ to analyze and compare ROC curves

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