pROC

Display and Analyze ROC Curves

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.

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Description file content

Package
pROC
Type
Package
Title
Display and Analyze ROC Curves
Version
1.14.0
Date
2019-03-12
Encoding
UTF-8
Depends
R (>= 2.14)
Imports
methods, plyr, Rcpp (>= 0.11.1)
Suggests
microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2
LinkingTo
Rcpp
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
BugReports
https://github.com/xrobin/pROC/issues
LazyLoad
yes
NeedsCompilation
yes
Packaged
2019-03-12 16:28:21 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), Matthias Doering [ctb] (Hand & Till Multiclass)
Maintainer
Xavier Robin
Repository
CRAN
Date/Publication
2019-03-12 18:00:10 UTC

install.packages('pROC')

1.14.0

2 months ago

http://expasy.org/tools/pROC/

Xavier Robin

GPL (>= 3)

Depends on

R (>= 2.14)

Imports

methods, plyr, Rcpp (>= 0.11.1)

Suggests

microbenchmark, tcltk, MASS, logcondens, doParallel, testthat, vdiffr, ggplot2

Discussions