Calculates Robust Performance Metrics for Imbalanced Classification Problems R package RobustMetrics version 0.1.1 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. Software Depends: R (>= 3.5.0) Bernhard Klar <bernhard.klar@kit.edu> Comprehensive R Archive Network (CRAN) Bernhard Klar [aut, cre], Hajo Holzmann [aut] GPL (>= 3) 2025-09-02 application/tgz https://CRAN.R-project.org/package=RobustMetrics doi:10.32614/CRAN.package.RobustMetrics