WeightedROC: Fast, Weighted ROC Curves

Fast computation of Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) for weighted binary classification problems (weights are example-specific cost values).

Version: 2017.07.12
Suggests: ROCR, pROC, microbenchmark, glmnet, ElemStatLearn, testthat, ggplot2
Published: 2017-07-12
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking at r-project.org>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: WeightedROC results


Reference manual: WeightedROC.pdf
Vignettes: Definition of the weighted ROC curve
Un-weighted ROC curve speed comparison
Package source: WeightedROC_2017.07.12.tar.gz
Windows binaries: r-devel: WeightedROC_2017.07.12.zip, r-release: WeightedROC_2017.07.12.zip, r-oldrel: WeightedROC_2017.07.12.zip
OS X El Capitan binaries: r-release: WeightedROC_2017.07.12.tgz
OS X Mavericks binaries: r-oldrel: WeightedROC_2017.07.12.tgz
Old sources: WeightedROC archive


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