cvAUC: Cross-Validated Area Under the ROC Curve Confidence Intervals

This 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 report cross-validated AUC and compute confidence intervals for cross-validated AUC estimates based on influence curves for i.i.d. and pooled repeated measures data, respectively. One benefit to using influence curve based confidence intervals is that they require much less computation time than bootstrapping methods. The utility function, cvAUC, which computes cross-validated AUC, is a wrapper for functions from the ROCR package.

Version: 1.0-0
Depends: ROCR
Suggests: MASS, parallel
Published: 2013-01-15
Author: Erin LeDell, Maya Petersen, Mark van der Laan
Maintainer: Erin LeDell <ledell at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: cvAUC results


Reference manual: cvAUC.pdf
Package source: cvAUC_1.0-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: cvAUC_1.0-0.tgz, r-oldrel: cvAUC_1.0-0.tgz
OS X Mavericks binaries: r-release: cvAUC_1.0-0.tgz

Reverse dependencies:

Reverse suggests: SuperLearner