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Enables the computation of the 'two cut-points with maximum odds ratio (OR) value method' for data analysis, particularly suited for binary classification tasks. Users can identify optimal cut-points in a continuous variable by maximizing the odds ratio while maintaining an equal risk level, useful for tasks such as medical diagnostics, risk assessment, or predictive modeling.
| Version: | 1.0 |
| Imports: | SemiPar, stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-03-25 |
| Author: | Xianying He [aut], Shuo Yang [aut, cre], Yi Fei [ctb], Jinxin Zhang [aut] |
| Maintainer: | Shuo Yang <yangsh223 at mail2.sysu.edu.cn> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | TCPMOR results |
| Reference manual: | TCPMOR.pdf |
| Package source: | TCPMOR_1.0.tar.gz |
| Windows binaries: | r-devel: TCPMOR_1.0.zip, r-release: TCPMOR_1.0.zip, r-oldrel: TCPMOR_1.0.zip |
| macOS binaries: | r-release (arm64): TCPMOR_1.0.tgz, r-oldrel (arm64): TCPMOR_1.0.tgz, r-release (x86_64): TCPMOR_1.0.tgz, r-oldrel (x86_64): TCPMOR_1.0.tgz |
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