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.
| Version: | 1.5.4 |
| Depends: | plyr, R (≥ 2.10), utils |
| Suggests: | tcltk, MASS, logcondens |
| Published: | 2012-09-10 |
| Author: | Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia Tiberti, Frédérique Lisacek, Jean-Charles Sanchez and Markus Müller |
| Maintainer: | Xavier Robin <Xavier.Robin at unige.ch> |
| License: | GPL (≥ 3) |
| URL: | http://expasy.org/tools/pROC/ |
| NeedsCompilation: | no |
| CRAN checks: | pROC results |
| Package source: | pROC_1.5.4.tar.gz |
| MacOS X binary: | pROC_1.5.4.tgz |
| Windows binary: | pROC_1.5.4.zip |
| Reference manual: | pROC.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | pROC archive |
| Reverse depends: | biomod2, RcmdrPlugin.EZR |
| Reverse suggests: | caret, waffect |