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lorbridge

Bridging Log-Odds Ratios and Correspondence Analysis via Closeness-of-Concordance Measures

Provides a unified analytical workflow that bridges conventional binary and multinomial logistic regression with singly-ordered (SONSCA) and doubly-ordered (DONSCA) nonsymmetric correspondence analysis. Log-odds ratios (LORs) from logistic regression are re-expressed as cosine theta estimates and closeness-of-concordance measures (CCMs) -- including Yule's Q, Yule's Y, and r_meta -- on the familiar [-1, +1] scale introduced by Kim and Grochowalski (2019) <doi:10.3758/s13428-018-1161-1>. Bootstrap confidence intervals for cosine theta are provided throughout. The package is intended to help clinical and medical researchers interpret association strength from logistic regression in an intuitive, correlation-like metric, and to connect conventional regression results with geometric correspondence analysis visualisations.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 lorbridge_0.1.0.tar.gz 87.0 KiB
0.1.0 rolling linux/noble R-4.5 lorbridge_0.1.0.tar.gz 86.9 KiB
0.1.0 rolling source/ R- lorbridge_0.1.0.tar.gz 31.5 KiB
0.1.0 latest linux/jammy R-4.5 lorbridge_0.1.0.tar.gz 87.0 KiB
0.1.0 latest linux/noble R-4.5 lorbridge_0.1.0.tar.gz 86.9 KiB
0.1.0 latest source/ R- lorbridge_0.1.0.tar.gz 31.5 KiB
0.1.0 2026-04-26 source/ R- lorbridge_0.1.0.tar.gz 31.5 KiB
0.1.0 2026-04-23 source/ R- lorbridge_0.1.0.tar.gz 31.5 KiB

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