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
Roxygen: list(markdown = 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
