Package: PRROC 1.4
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_1.4.tar.gz
PRROC_1.4.zip(r-4.7)PRROC_1.4.zip(r-4.6)PRROC_1.4.zip(r-4.5)
PRROC_1.4.tgz(r-4.6-any)PRROC_1.4.tgz(r-4.5-any)
PRROC_1.4.tar.gz(r-4.7-any)PRROC_1.4.tar.gz(r-4.6-any)
PRROC_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:cf6b4b4324. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 119 | ||
| source / vignettes | OK | 169 | ||
| linux-release-x86_64 | OK | 127 | ||
| macos-release-arm64 | OK | 114 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| windows-devel | OK | 75 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 113 |
Exports:ggprrocpr.curveroc.curve
Dependencies:rlang
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 using ggplot2 | ggprroc |
| Plotting PRROC objects | plot.PRROC |
| PR curve | pr.curve |
| printing PRROC objects | print.PRROC |
| ROC curve | roc.curve |
