Bridging Log-Odds Ratios and Correspondence Analysis via Closeness-of-Concordance Measures R package lorbridge version 0.1.0 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. Software Depends: R (>= 4.1.0) Imports: CAvariants (>= 5.5), nnet (>= 7.3), stats Suggests: dplyr (>= 1.1.0), ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0), graphics, tidyr (>= 1.3.0), knitr, rmarkdown, testthat (>= 3.0.0) Se-Kang Kim <se-kang.kim@bcm.edu> Comprehensive R Archive Network (CRAN) Se-Kang Kim [aut, cre] (ORCID: <https://orcid.org/0000-0003-0928-3396>) GPL (>= 3) 2026-04-21 application/tgz https://CRAN.R-project.org/package=lorbridge doi:10.32614/CRAN.package.lorbridge en-US