Package: pROC
Type: Package
Title: Display and Analyze ROC Curves
Version: 1.9.1
Date: 2017-02-05
Encoding: UTF-8
Depends: R (>= 2.14)
Imports: plyr, utils, methods, Rcpp (>= 0.11.1)
Suggests: microbenchmark, tcltk, MASS, logcondens, doParallel, testthat
LinkingTo: Rcpp
Authors@R: c(person("Xavier", "Robin", role = c("cre", "aut"), 
                    email = "robin@lindinglab.org"),
             person("Natacha", "Turck", role = "aut"),
             person("Alexandre", "Hainard", role = "aut"),
             person("Natalia", "Tiberti", role = "aut"),
             person("Frédérique", "Lisacek", role = "aut"),
             person("Jean-Charles", "Sanchez", role = "aut"),
             person("Markus", "Müller", role = "aut"),
             person("Stefan", "Siegert", role = "ctb", 
                    comment = "Fast DeLong code", 
                    email = "stefan_siegert@gmx.de"))
Description: 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.
License: GPL (>= 3)
URL: http://expasy.org/tools/pROC/
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2017-02-05 20:30:42 UTC; xavier
Author: Xavier Robin [cre, aut],
  Natacha Turck [aut],
  Alexandre Hainard [aut],
  Natalia Tiberti [aut],
  Frédérique Lisacek [aut],
  Jean-Charles Sanchez [aut],
  Markus Müller [aut],
  Stefan Siegert [ctb] (Fast DeLong code)
Maintainer: Xavier Robin <robin@lindinglab.org>
Repository: CRAN
Date/Publication: 2017-02-05 22:54:00
Built: R 3.4.1; x86_64-w64-mingw32; 2018-08-02 19:03:11 UTC; windows
Archs: x64
