CMD + K

r-cvauc

Community

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.

Installation

To install this package, run one of the following:

Conda
$conda install krinsman::r-cvauc

Usage Tracking

1.1.0
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

Apr 1, 2018 at 18:02

License

Apache License (== 2.0)

Total Downloads

18

Supported Platforms

linux-ppc64le
linux-64
linux-aarch64
linux-armv7l
macOS-64
linux-armv6l
linux-32