Package: RobustMetrics
Type: Package
Title: Calculates Robust Performance Metrics for Imbalanced
        Classification Problems
Version: 0.1.1
Authors@R: c(
    person("Bernhard", "Klar ", , "bernhard.klar@kit.edu", role = c("aut", "cre")),
    person("Hajo", "Holzmann", , "holzmann@mathematik.uni-marburg.de", role = c("aut"))
    )
Maintainer: Bernhard Klar <bernhard.klar@kit.edu>
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
URL: https://github.com/BernhardKlar/RobustMetrics
BugReports: https://github.com/BernhardKlar/RobustMetrics/issues
NeedsCompilation: no
Packaged: 2025-08-27 14:14:55 UTC; Klar
Author: Bernhard Klar [aut, cre],
  Hajo Holzmann [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-09-02 05:30:07 UTC
Built: R 4.6.0; ; 2026-04-25 21:58:25 UTC; unix
