plotROC: Generate Useful ROC Curve Charts for Print and Interactive Use

Most ROC curve plots obscure the cutoff values and inhibit interpretation and comparison of multiple curves. This attempts to address those shortcomings by providing plotting and interactive tools. Functions are provided to generate an interactive ROC curve plot for web use, and print versions. A Shiny application implementing the functions is also included.

Version: 2.3.1
Depends: R (≥ 3.0.0), ggplot2
Imports: methods, grid, gridSVG, shiny, plyr, rlang
Suggests: knitr, testthat, stringr, survivalROC, rmarkdown
Published: 2023-10-06
Author: Michael C. Sachs [aut, cre], Robert W. Corty [ctb], Luis Crouch [ctb] (Modification to calc_auc)
Maintainer: Michael C. Sachs <sachsmc at gmail.com>
BugReports: https://github.com/sachsmc/plotROC/issues/
License: MIT + file LICENSE
URL: https://sachsmc.github.io/plotROC/
NeedsCompilation: no
Citation: plotROC citation info
Materials: README NEWS
CRAN checks: plotROC results

Documentation:

Reference manual: plotROC.pdf
Vignettes: plotROC Examples

Downloads:

Package source: plotROC_2.3.1.tar.gz
Windows binaries: r-devel: plotROC_2.3.1.zip, r-release: plotROC_2.3.1.zip, r-oldrel: plotROC_2.3.1.zip
macOS binaries: r-release (arm64): plotROC_2.3.1.tgz, r-oldrel (arm64): plotROC_2.3.1.tgz, r-release (x86_64): plotROC_2.3.1.tgz
Old sources: plotROC archive

Reverse dependencies:

Reverse imports: gWQS, icardaFIGSr, microbiomeMarker, RprobitB, sMSROC
Reverse suggests: EnMCB, explainer, pareg, SDMtune

Linking:

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