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PRROC

Precision-Recall and ROC Curves for Weighted and Unweighted Data

v1.4 · Mar 18, 2025 · GPL-3

Description

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>.

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r-devel-linux-x86_64-debian-gcc OK
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r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Reverse Dependencies (21)

Dependency Network

Dependencies Reverse dependencies rlang DDESONN E2E GroupBN ICBioMark MSiP PEAXAI PatientLevelPrediction TSLA autoFlagR biospear dagHMM immunaut mlr3measures prcbench priorityelasticnet +6 more reverse deps PRROC

Version History

new 1.4 Mar 9, 2026