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.

Package details

AuthorXavier Robin [cre, aut] (<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)
MaintainerXavier Robin <[email protected]>
LicenseGPL (>= 3)
Version1.13.0
URL http://expasy.org/tools/pROC/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pROC")

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pROC documentation built on Sept. 25, 2018, 9:03 a.m.