ROCKIT compare ROC AUC

Software_index: "ROCKIT also calculates the statistical significance of differences between ROC index estimates and parameters. On the basis of a 'bivariate binormal' model, it allows for comparison of 2 paired, partially paired, or unpaired datasets (which would represent, for example, different imaging modalities or diagnostic tests) with regard to:
Differences in the binormal ROC curve parameters a and b (related to the difference in the mean and of the standard deviations of the two latest normal distributions used in the fit)
Difference in the areas (Az) under the two estimated binormal ROC curves"