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lorbridge
View on CRAN: Click
here
Download and install lorbridge package within the R console
Install from CRAN:
install.packages("lorbridge")
Install from Github:
library("remotes")
install_github("cran/lorbridge") Install by package version:
library("remotes")
install_version("lorbridge", "0.1.1") Attach the package and use:
library("lorbridge")
Maintained by
Se-Kang Kim
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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.
How to cite:
Se-Kang Kim (2026). lorbridge: Bridging Log-Odds Ratios and Correspondence Analysis via Closeness-of-Concordance Measures. R package version 0.1.1, https://cran.r-project.org/web/packages/lorbridge. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:54), 0.1.0 (2026-04-21 23:22)
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