Package: lorbridge
Type: Package
Title: Bridging Log-Odds Ratios and Correspondence Analysis via
        Closeness-of-Concordance Measures
Version: 0.1.0
Date: 2026-04-19
Authors@R: person("Se-Kang", "Kim",
    email = "se-kang.kim@bcm.edu",
    role = c("aut", "cre"),
    comment = c(ORCID = "0000-0003-0928-3396"))
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.
License: GPL (>= 3)
URL: https://github.com/sekangakim/lorbridge
BugReports: https://github.com/sekangakim/lorbridge/issues
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.3.3
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)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-04-21 20:46:34 UTC; sekangkim
Author: Se-Kang Kim [aut, cre] (ORCID: <https://orcid.org/0000-0003-0928-3396>)
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>
Repository: CRAN
Date/Publication: 2026-04-21 21:22:21 UTC
Built: R 4.5.2; ; 2026-04-22 00:11:14 UTC; unix
