Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.
| Version: | 0.3.1 |
| Depends: | R (≥ 3.2.0), ggplot2, methods, stats, utils |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Published: | 2015-10-12 |
| Author: | Erik Peter [aut, cre] |
| Maintainer: | Erik Peter <jerikpeter at googlemail.com> |
| BugReports: | http://github.com/erikpeter/fbroc/issues |
| License: | GPL-2 |
| URL: | http://www.epeter-stats.de/roc-curve-analysis-with-fbroc/ |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | fbroc results |
| Reference manual: | fbroc.pdf |
| Package source: | fbroc_0.3.1.tar.gz |
| Windows binaries: | r-devel: fbroc_0.3.1.zip, r-release: fbroc_0.3.1.zip, r-oldrel: fbroc_0.2.1.zip |
| OS X Snow Leopard binaries: | r-release: fbroc_0.2.1.tgz, r-oldrel: fbroc_0.1.0.tgz |
| OS X Mavericks binaries: | r-release: fbroc_0.3.1.tgz |
| Old sources: | fbroc archive |