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cvAUC (version 1.1.4)

Cross-Validated Area Under the ROC Curve Confidence Intervals

Description

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.

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install.packages('cvAUC')

Monthly Downloads

2,907

Version

1.1.4

License

Apache License (== 2.0)

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Last Published

January 17th, 2022

Functions in cvAUC (1.1.4)

ci.cvAUC

Confidence Intervals for Cross-validated Area Under the ROC Curve (AUC) Estimates
admissions

Data set: Simulated Admissions Data with Binary Outcome
AUC

Area Under the ROC Curve
adherence

Data set: Simulated Pooled Repeated Measures Data
cvAUC

Cross-validated Area Under the ROC Curve (AUC)
ci.pooled.cvAUC

Confidence Intervals for Cross-validated Area Under the ROC Curve (AUC) Estimates for Pooled Repeated Measures Data
cvAUC-package

Cross-Validated Area Under the ROC Curve Confidence Intervals