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Compute covariate-adjusted specificity at controlled sensitivity level, or covariate-adjusted sensitivity at controlled specificity level, or covariate-adjust receiver operating characteristic curve, or covariate-adjusted thresholds at controlled sensitivity/specificity level. All statistics could also be computed for specific sub-populations given their covariate values. Methods are described in Ziyi Li, Yijian Huang, Datta Patil, Martin G. Sanda (2021+) "Covariate adjustment in continuous biomarker assessment".
Version: | 0.1.5 |
Depends: | R (≥ 4.0), quantreg, RColorBrewer |
Suggests: | knitr, rmarkdown |
Published: | 2021-04-02 |
DOI: | 10.32614/CRAN.package.caROC |
Author: | Ziyi Li |
Maintainer: | Ziyi Li <zli16 at mdanderson.org> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | caROC results |
Reference manual: | caROC.pdf |
Vignettes: |
Evaluate continuous biomarkers with caROC |
Package source: | caROC_0.1.5.tar.gz |
Windows binaries: | r-devel: caROC_0.1.5.zip, r-release: caROC_0.1.5.zip, r-oldrel: caROC_0.1.5.zip |
macOS binaries: | r-release (arm64): caROC_0.1.5.tgz, r-oldrel (arm64): caROC_0.1.5.tgz, r-release (x86_64): caROC_0.1.5.tgz, r-oldrel (x86_64): caROC_0.1.5.tgz |
Please use the canonical form https://CRAN.R-project.org/package=caROC 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.