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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 and PROFILE empirical likelihood, as described in <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.
| Version: | 0.4 |
| Depends: | R (≥ 3.2.5), emplik2, rootSolve |
| Imports: | stats |
| Published: | 2024-05-30 |
| DOI: | 10.32614/CRAN.package.emplikAUC |
| Author: | Mai Zhou [aut, cre, cph], Xue Ding [aut], Yumin Zhao [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_0.4.tar.gz |
| Windows binaries: | r-devel: emplikAUC_0.4.zip, r-release: emplikAUC_0.4.zip, r-oldrel: emplikAUC_0.4.zip |
| macOS binaries: | r-release (arm64): emplikAUC_0.4.tgz, r-oldrel (arm64): emplikAUC_0.4.tgz, r-release (x86_64): emplikAUC_0.4.tgz, r-oldrel (x86_64): emplikAUC_0.4.tgz |
| Old sources: | emplikAUC 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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