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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: 2020.1.31
Suggests: ROCR, pROC, PRROC, microbenchmark, glmnet, testthat, ggplot2, GsymPoint, geometry
Published: 2020-02-01
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking at r-project.org>
BugReports: https://github.com/tdhock/WeightedROC/issues
License: GPL-3
URL: https://github.com/tdhock/WeightedROC
NeedsCompilation: no
Materials: NEWS
CRAN checks: WeightedROC results

Documentation:

Reference manual: WeightedROC.pdf
Vignettes: Definition of the weighted ROC curve

Downloads:

Package source: WeightedROC_2020.1.31.tar.gz
Windows binaries: r-devel: WeightedROC_2020.1.31.zip, r-release: WeightedROC_2020.1.31.zip, r-oldrel: WeightedROC_2020.1.31.zip
macOS binaries: r-release (arm64): WeightedROC_2020.1.31.tgz, r-oldrel (arm64): WeightedROC_2020.1.31.tgz, r-release (x86_64): WeightedROC_2020.1.31.tgz, r-oldrel (x86_64): WeightedROC_2020.1.31.tgz
Old sources: WeightedROC archive

Reverse dependencies:

Reverse suggests: aum, tidyhte, tmle, vimp

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WeightedROC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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