RobustMetrics
0.1.1Calculates Robust Performance Metrics for Imbalanced Classification Problems
Overview
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.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Repository
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 12.5 median / 16 max
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
6 6 exported
Complexity
11.8 avg / 16 max
Call network
6 nodes / 1 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-09-02
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 302 KB / 1 file
- Download size
- 308 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet