Package: fbroc
Type: Package
Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics
        Curves
Version: 0.2.0
Date: 2015-06-05
Authors@R: c(person("Erik", "Peter", email = "jerikpeter@googlemail.com", 
             role = c("aut", "cre")))
Description: 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. 
    You can also plot the results and calculate confidence intervals.
    Currently the calculation of 100000 bootstrap replicates for 500 observations 
    takes about one second.
License: GPL-2
URL: http://www.epeter-stats.de/roc-curve-analysis-with-fbroc/
BugReports: http://github.com/erikpeter/fbroc/issues
Depends: R (>= 3.1.0), ggplot2
Imports: Rcpp
LinkingTo: Rcpp
LazyData: true
NeedsCompilation: yes
Packaged: 2015-06-05 22:25:07 UTC; Erik
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>
Repository: CRAN
Date/Publication: 2015-06-06 01:49:08
