Package: TCPMOR 1.0
TCPMOR: Two Cut-Points with Maximum Odds Ratio
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.
Authors:
TCPMOR_1.0.tar.gz
TCPMOR_1.0.zip(r-4.5)TCPMOR_1.0.zip(r-4.4)TCPMOR_1.0.zip(r-4.3)
TCPMOR_1.0.tgz(r-4.4-any)TCPMOR_1.0.tgz(r-4.3-any)
TCPMOR_1.0.tar.gz(r-4.5-noble)TCPMOR_1.0.tar.gz(r-4.4-noble)
TCPMOR_1.0.tgz(r-4.4-emscripten)TCPMOR_1.0.tgz(r-4.3-emscripten)
TCPMOR.pdf |TCPMOR.html✨
TCPMOR/json (API)
| # Install 'TCPMOR' in R: |
| install.packages('TCPMOR', repos = c('https://shuo-yang-sysu.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:9e65c0f6a5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
| R-4.4-win | OK | Nov 23 2024 |
| R-4.4-mac | OK | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 2024 |
Exports:calculateCutoffscreateDatadiscretizeAgefindCutoffsfitLogisticRegressionfitSemiParamModel
