Package: PRROC 1.3.1
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>.
Authors:
PRROC_1.3.1.tar.gz
PRROC_1.3.1.zip(r-4.5)PRROC_1.3.1.zip(r-4.4)PRROC_1.3.1.zip(r-4.3)
PRROC_1.3.1.tgz(r-4.4-any)PRROC_1.3.1.tgz(r-4.3-any)
PRROC_1.3.1.tar.gz(r-4.5-noble)PRROC_1.3.1.tar.gz(r-4.4-noble)
PRROC_1.3.1.tgz(r-4.4-emscripten)PRROC_1.3.1.tgz(r-4.3-emscripten)
PRROC.pdf |PRROC.html✨
PRROC/json (API)
| # Install 'PRROC' in R: |
| install.packages('PRROC', repos = c('https://jgraux.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:1d539299ca. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win | OK | Nov 07 2024 |
| R-4.5-linux | OK | Nov 07 2024 |
| R-4.4-win | OK | Nov 07 2024 |
| R-4.4-mac | OK | Nov 07 2024 |
| R-4.3-win | OK | Nov 07 2024 |
| R-4.3-mac | OK | Nov 07 2024 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute and plot PR and ROC curves and the areas under the curves for weighted and unweighted data | PRROC-package PRROC |
| Plotting PRROC objects | plot.PRROC |
| PR curve | pr.curve |
| printing PRROC objects | print.PRROC |
| ROC curve | roc.curve |
