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:Xianying He [aut], Shuo Yang [aut, cre], Yi Fei [ctb], Jinxin Zhang [aut]

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.09 score 5 dependencies 149 downloads

Last updated 6 months agofrom:9e65c0f6a5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:calculateCutoffscreateDatadiscretizeAgefindCutoffsfitLogisticRegressionfitSemiParamModel

Dependencies:clusterlatticeMASSnlmeSemiPar