For a binary classification the adjusted sensitivity and specificity are measured for a given fixed threshold. If the threshold for either sensitivity or specificity is not given, the crossing point between the sensitivity and specificity curves are returned.
| Version: | 0.2.0 |
| Imports: | ROCit, ggplot2 |
| Published: | 2022-03-23 |
| Author: | E. F. Haghish |
| Maintainer: | E. F. Haghish <haghish at uio.no> |
| BugReports: | https://github.com/haghish/adjROC/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/haghish/adjROC, https://www.sv.uio.no/psi/english/people/aca/haghish/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | adjROC results |
| Reference manual: | adjROC.pdf |
| Package source: | adjROC_0.2.0.tar.gz |
| Windows binaries: | r-devel: adjROC_0.2.0.zip, r-release: adjROC_0.2.0.zip, r-oldrel: adjROC_0.2.0.zip |
| macOS binaries: | r-release (arm64): adjROC_0.2.0.tgz, r-oldrel (arm64): adjROC_0.2.0.tgz, r-release (x86_64): adjROC_0.2.0.tgz, r-oldrel (x86_64): adjROC_0.2.0.tgz |
| Old sources: | adjROC archive |
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