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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. For bootstrap procedures, mean and CI bootstrap values of sensitivity, specificity, crossing point between specificity and specificity as well as AUC and AUCPR can be evaluated.
| Version: | 0.3 |
| Imports: | ROCit, ggplot2, boot, yardstick |
| Published: | 2023-01-25 |
| 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_0.3.tar.gz |
| Windows binaries: | r-devel: adjROC_0.3.zip, r-release: adjROC_0.3.zip, r-oldrel: adjROC_0.3.zip |
| macOS binaries: | r-release (arm64): adjROC_0.3.tgz, r-oldrel (arm64): adjROC_0.3.tgz, r-release (x86_64): adjROC_0.3.tgz, r-oldrel (x86_64): adjROC_0.3.tgz |
| Old sources: | adjROC archive |
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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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