Package: fbroc
Type: Package
Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics
        Curves
Version: 0.4.1
Date: 2019-03-24
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) and the partial area under the curve 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. On a typical desktop computer the time needed for 
    the calculation of 100000 bootstrap replicates given 500 observations requires time on the
    order of magnitude of 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 (>= 3.2.0), ggplot2, methods, stats, utils
Imports: Rcpp
LinkingTo: Rcpp
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-03-24 12:01:19 UTC; Erik
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>
Repository: CRAN
Date/Publication: 2019-03-24 12:20:03 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 03:12:03 UTC; unix
Archs: fbroc.so.dSYM
