# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "lorbridge" in publications use:' type: software license: GPL-3.0-or-later title: 'lorbridge: Bridging Log-Odds Ratios and Correspondence Analysis via Closeness-of-Concordance Measures' version: 0.1.0 doi: 10.32614/CRAN.package.lorbridge abstract: 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) . 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. authors: - family-names: Kim given-names: Se-Kang email: se-kang.kim@bcm.edu orcid: https://orcid.org/0000-0003-0928-3396 repository: https://sekangakim.r-universe.dev repository-code: https://github.com/sekangakim/lorbridge commit: 3705be7bea1ab235fefa70c0ca4b7380327995d4 url: https://github.com/sekangakim/lorbridge date-released: '2026-04-19' contact: - family-names: Kim given-names: Se-Kang email: se-kang.kim@bcm.edu orcid: https://orcid.org/0000-0003-0928-3396