The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Test hypotheses and construct confidence intervals for AUC (area under Receiver Operating Characteristic curve) and pAUC (partial area under ROC curve), from the given two samples of test data with disease/healthy subjects. The method used is based on two sample empirical likelihood, as described in <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.
| Version: | 0.3 |
| Depends: | R (≥ 3.2.5), emplik2, rootSolve |
| Imports: | stats |
| Published: | 2023-01-13 |
| Author: | Mai Zhou [aut, cre, cph], Xue Ding [aut] |
| Maintainer: | Mai Zhou <maizhou at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | emplikAUC results |
| Reference manual: | emplikAUC.pdf |
| Package source: | emplikAUC_0.3.tar.gz |
| Windows binaries: | r-devel: emplikAUC_0.3.zip, r-release: emplikAUC_0.3.zip, r-oldrel: emplikAUC_0.3.zip |
| macOS binaries: | r-release (arm64): emplikAUC_0.3.tgz, r-oldrel (arm64): emplikAUC_0.3.tgz, r-release (x86_64): emplikAUC_0.3.tgz, r-oldrel (x86_64): emplikAUC_0.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=emplikAUC 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.
Health stats visible at Monitor.