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 functions, AUC and cvAUC, are simple wrappers for functions from the ROCR package.
|Author||Erin LeDell, Maya Petersen, Mark van der Laan|
|Date of publication||2014-12-09 07:12:38|
|Maintainer||Erin LeDell <firstname.lastname@example.org>|
|License||Apache License (== 2.0)|
adherence: Data set: Simulated Pooled Repeated Measures Data
admissions: Data set: Simulated Admissions Data with Binary Outcome
AUC: Area Under the ROC Curve
ci.cvAUC: Confidence Intervals for Cross-validated Area Under the ROC...
ci.pooled.cvAUC: Confidence Intervals for Cross-validated Area Under the ROC...
cvAUC: Cross-validated Area Under the ROC Curve (AUC)
cvAUC-package: Cross-Validated Area Under the ROC Curve Confidence Intervals
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