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Calculates robust Matthews Correlation Coefficient (MCC) and robust F-Beta Scores, as introduced by Holzmann and Klar (2024) <doi:10.48550/arXiv.2404.07661>. These performance metrics are designed for imbalanced classification problems. Plots the receiver operating characteristic curve (ROC curve) together with the recall / 1-precision curve.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Published: | 2025-09-02 |
| DOI: | 10.32614/CRAN.package.RobustMetrics |
| Author: | Bernhard Klar [aut, cre], Hajo Holzmann [aut] |
| Maintainer: | Bernhard Klar <bernhard.klar at kit.edu> |
| BugReports: | https://github.com/BernhardKlar/RobustMetrics/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/BernhardKlar/RobustMetrics |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | RobustMetrics results |
| Reference manual: | RobustMetrics.html , RobustMetrics.pdf |
| Package source: | RobustMetrics_0.1.1.tar.gz |
| Windows binaries: | r-devel: RobustMetrics_0.1.1.zip, r-release: RobustMetrics_0.1.1.zip, r-oldrel: RobustMetrics_0.1.1.zip |
| macOS binaries: | r-release (arm64): RobustMetrics_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): RobustMetrics_0.1.1.tgz, r-oldrel (x86_64): RobustMetrics_0.1.1.tgz |
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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.