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

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 functions, AUC and cvAUC, are simple wrappers for functions from the ROCR package.

Version:	1.1.4
Imports:	ROCR, data.table
Published:	2022-01-17
Author:	Erin LeDell, Maya Petersen, Mark van der Laan
Maintainer:	Erin LeDell <oss at ledell.org>
BugReports:	https://github.com/ledell/cvAUC/issues
License:	Apache License (== 2.0)
URL:	https://github.com/ledell/cvAUC
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	cvAUC results

Documentation:

Reference manual:

cvAUC.pdf

Downloads:

Package source:	cvAUC_1.1.4.tar.gz
Windows binaries:	r-devel: cvAUC_1.1.4.zip, r-release: cvAUC_1.1.4.zip, r-oldrel: cvAUC_1.1.4.zip
macOS binaries:	r-release (arm64): cvAUC_1.1.4.tgz, r-oldrel (arm64): cvAUC_1.1.4.tgz, r-release (x86_64): cvAUC_1.1.4.tgz, r-oldrel (x86_64): cvAUC_1.1.4.tgz
Old sources:	cvAUC archive

Reverse dependencies:

Reverse depends:	SPARRAfairness
Reverse imports:	envi, nlpred, psfmi, SuperLearner
Reverse suggests:	BuyseTest, subsemble, vimp

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