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pROC: Display and Analyze ROC Curves
Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Getting started
Browse package contents
Package details |
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| Author | Xavier Robin [cre, aut] (ORCID: <https://orcid.org/0000-0002-6813-3200>), Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frédérique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Müller [aut], Stefan Siegert [ctb] (Fast DeLong code), Matthias Doering [ctb] (Hand & Till Multiclass), Zane Billings [ctb] (DeLong paired test CI) |
| Maintainer | Xavier Robin <pROC-cran@xavier.robin.name> |
| License | GPL (>= 3) |
| Version | 1.19.0.1 |
| URL | https://xrobin.github.io/pROC/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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