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.

Version:	0.1.0
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)
Published:	2026-04-21
DOI:	10.32614/CRAN.package.lorbridge
Author:	Se-Kang Kim [aut, cre]
Maintainer:	Se-Kang Kim <se-kang.kim at bcm.edu>
BugReports:	https://github.com/sekangakim/lorbridge/issues
License:	GPL (≥ 3)
URL:	https://github.com/sekangakim/lorbridge
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	lorbridge results

Documentation:

Reference manual:	lorbridge.html , lorbridge.pdf
Vignettes:	Introduction to lorbridge (source, R code)

Downloads:

Package source:	lorbridge_0.1.0.tar.gz
Windows binaries:	r-release: lorbridge_0.1.0.zip, r-oldrel: lorbridge_0.1.0.zip
macOS binaries:	r-release (arm64): lorbridge_0.1.0.tgz, r-oldrel (arm64): lorbridge_0.1.0.tgz, r-release (x86_64): lorbridge_0.1.0.tgz, r-oldrel (x86_64): lorbridge_0.1.0.tgz

Linking:

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