ROCnGO: Fast Analysis of ROC Curves

A toolkit for analyzing classifier performance by using receiver operating characteristic (ROC) curves. Performance may be assessed on a single classifier or multiple ones simultaneously, making it suitable for comparisons. In addition, different metrics allow the evaluation of local performance when working within restricted ranges of sensitivity and specificity. For details on the different implementations, see McClish D. K. (1989) <doi:10.1177/0272989X8900900307>, Vivo J.-M., Franco M. and Vicari D. (2018) <doi:10.1007/S11634-017-0295-9>, Jiang Y., et al (1996) <doi:10.1148/radiology.201.3.8939225>, Franco M. and Vivo J.-M. (2021) <doi:10.3390/math9212826> and Carrington, André M., et al (2020) <doi:10.1186/s12911-019-1014-6>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: cli, dplyr, forcats, ggplot2, magrittr, purrr, rlang, stringr, SummarizedExperiment, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-07-17
DOI: 10.32614/CRAN.package.ROCnGO
Author: Pablo Navarro [aut, cre, cph], Juana-María Vivo [aut], Manuel Franco [aut]
Maintainer: Pablo Navarro <pablo.navarrocarpio at gmail.com>
BugReports: https://github.com/pabloPNC/ROCnGO/issues
License: GPL (≥ 3)
URL: https://pablopnc.github.io/ROCnGO/, https://github.com/pabloPNC/ROCnGO
NeedsCompilation: no
Citation: ROCnGO citation info
Materials: README, NEWS
CRAN checks: ROCnGO results

Documentation:

Reference manual: ROCnGO.html , ROCnGO.pdf
Vignettes: Introduction to ROCnGO (source, R code)
Selecting condition of interest (source, R code)

Downloads:

Package source: ROCnGO_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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