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-4.5-any)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'))

On CRAN:

Conda:

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

1.00 score 129 downloads 6 exports 5 dependencies

Last updated 12 months agofrom:9e65c0f6a5. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-winOKMar 23 2025
R-4.5-macOKMar 23 2025
R-4.5-linuxOKMar 23 2025
R-4.4-winOKMar 23 2025
R-4.4-macOKMar 23 2025
R-4.4-linuxOKMar 23 2025
R-4.3-winOKMar 23 2025
R-4.3-macOKMar 23 2025

Exports:calculateCutoffscreateDatadiscretizeAgefindCutoffsfitLogisticRegressionfitSemiParamModel

Dependencies:clusterlatticeMASSnlmeSemiPar