DESCRIPTION

Package: pROC
Type: Package
Title: Display and Analyze ROC Curves
Version: 1.18.5
Date: 2023-11-01
Encoding: UTF-8
Depends: R (>= 2.14)
Imports: methods, plyr, Rcpp (>= 0.11.1)
Suggests: microbenchmark, tcltk, MASS, logcondens, doParallel,
    testthat, vdiffr, ggplot2, rlang
LinkingTo: Rcpp
Authors@R: c(person("Xavier", "Robin", role = c("cre", "aut"), 
                    email = "pROC-cran@xavier.robin.name",
                    comment = c(ORCID = "0000-0002-6813-3200")),
             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"),
             person("Matthias", "Doering", role = "ctb", 
                    comment = "Hand & Till Multiclass"),
             person("Zane", "Billings", role = "ctb", 
                    comment = "DeLong paired test CI"))
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: https://xrobin.github.io/pROC/
BugReports: https://github.com/xrobin/pROC/issues
LazyData: yes