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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 |
Reference manual: | ROCnGO.html , ROCnGO.pdf |
Vignettes: |
Introduction to ROCnGO (source, R code) Selecting condition of interest (source, R code) |
Package source: | ROCnGO_0.1.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: ROCnGO_0.1.0.zip, r-oldrel: ROCnGO_0.1.0.zip |
macOS binaries: | r-release (arm64): ROCnGO_0.1.0.tgz, r-oldrel (arm64): ROCnGO_0.1.0.tgz, r-release (x86_64): ROCnGO_0.1.0.tgz, r-oldrel (x86_64): ROCnGO_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ROCnGO to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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