PRROC
Precision-Recall and ROC Curves for Weighted and Unweighted Data
Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method. References: Davis and Goadrich (2006) <doi:10.1145/1143844.1143874>; Keilwagen et al. (2014) <doi:10.1371/journal.pone.0092209>; Grau et al. (2015) <doi:10.1093/bioinformatics/btv153>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4 |
rolling linux/jammy R-4.5 | PRROC_1.4.tar.gz |
568.0 KiB |
1.4 |
rolling linux/noble R-4.5 | PRROC_1.4.tar.gz |
567.8 KiB |
1.4 |
rolling source/ R- | PRROC_1.4.tar.gz |
511.9 KiB |
1.4 |
latest linux/jammy R-4.5 | PRROC_1.4.tar.gz |
568.0 KiB |
1.4 |
latest linux/noble R-4.5 | PRROC_1.4.tar.gz |
567.8 KiB |
1.4 |
latest source/ R- | PRROC_1.4.tar.gz |
511.9 KiB |
1.4 |
2026-04-26 source/ R- | PRROC_1.4.tar.gz |
511.9 KiB |
1.4 |
2026-04-23 source/ R- | PRROC_1.4.tar.gz |
511.9 KiB |
1.4 |
2026-04-09 windows/windows R-4.5 | PRROC_1.4.zip |
570.3 KiB |
1.4 |
2025-04-20 source/ R- | PRROC_1.4.tar.gz |
511.9 KiB |