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.html , caROC.pdf |
| Vignettes: |
Evaluate continuous biomarkers with caROC (source, R code) |
| 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.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.