PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.
Grau, Jan 1, *, +; Grosse, Ivo 1, 2; Keilwagen, Jens 3, +
[Miscellaneous Article] Bioinformatics. 31(15):2595-2597, August 1, 2015.

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Summary: Precision-recall (PR) and receiver operating characteristic (ROC) curves are valuable measures of classifier performance. Here, we present the R-package PRROC, which allows for computing and visualizing both PR and ROC curves. In contrast to available R-packages, PRROC allows for computing PR and ROC curves and areas under these curves for soft-labeled data using a continuous interpolation between the points of PR curves. In addition, PRROC provides a generic plot function for generating publication-quality graphics of PR and ROC curves.

Availability and implementation: PRROC is available from CRAN and is licensed under GPL 3.

Contact: [email protected]

(C) Copyright Oxford University Press 2015.