Bioinformatics

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R

Grau, J., Grosse, I., Keilwagen, J..

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: grau@informatik.uni-halle.de