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: |
1.8 |
| Depends: |
R (≥ 2.14) |
| Imports: |
plyr, utils, methods, Rcpp (≥ 0.11.1) |
| LinkingTo: |
Rcpp |
| Suggests: |
microbenchmark, tcltk, MASS, logcondens, doParallel |
| Published: |
2015-05-05 |
| Author: |
Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia Tiberti, Frédérique Lisacek, Jean-Charles Sanchez and Markus Müller. |
| Maintainer: |
Xavier Robin <robin at lindinglab.org> |
| License: |
GPL (≥ 3) |
| URL: |
http://expasy.org/tools/pROC/ |
| NeedsCompilation: |
yes |
| Citation: |
pROC citation info |
| Materials: |
README NEWS |
| CRAN checks: |
pROC results |