CRAN/E | fbroc

fbroc

Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves

Installation

About

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.

www.epeter-stats.de/roc-curve-analysis-with-fbroc/
Bug report File report

Key Metrics

Version 0.4.1
R ≥ 3.2.0
Published 2019-03-24 1651 days ago
Needs compilation? yes
License GPL-2
CRAN checks fbroc results

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Maintainer

Maintainer

Erik Peter

jerikpeter@googlemail.com

Authors

Erik Peter

aut / cre

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fbroc archive

Depends

R ≥ 3.2.0
ggplot2
methods
stats
utils

Imports

Rcpp

LinkingTo

Rcpp