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 (may not be active yet) |
| 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:
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