ROCnGO: Fast Analysis of ROC Curves (original) (raw)
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 |
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