This function computes the numeric value of area under the ROC curve (AUC) with the trapezoidal rule. It is a wrapper function around the pRoc function in the roc package
a data matrix; in the first column there should be the binary response variable y. If you give the training dataset it will calculate the in-sample AUC. If supplied with a new dataset then it will return the predictive AUC.
vector of coefficients
The area under the ROC curve, the sensitivity and specificity
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