The cvAUC R package contains various tools for working with and evaluating cross-validated area under the ROC curve (AUC) estimators. The primary functions of the package are ci.cvAUC and ci.pooled.cvAUC, which compute confidence intervals for cross-validated AUC estimates based on influence curves of both regular i.i.d and pooled repeated measures data. One benefit to using influence function based confidence intervals is that they require much less computation time than bootstrapping methods. The utility functions, cvAUC and AUC, which computes cross-validated AUC and test set AUC, is a wrapper for functions from the ROCR package.

Author(s): Erin LeDell, Maya Petersen, Mark van der Laan

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