Package: mvboxcox
Title: Bivariate Logistic Box-Cox Regression
Version: 0.1.4
Authors@R: 
    c(
      person(given = "Shiyu", family = "Xu",
             email = "xushiyu98@outlook.com", role = "aut"),
      person(given = "Xuekui", family = "Zhang",
             email = "ubcxzhang@gmail.com", role = c("aut", "cre"))
    )
Description: Fits bivariate logistic Box-Cox regression models for
        binary outcomes and positive continuous predictors.
        Transformation parameters are selected by cross-validated grid
        search with adaptive refinement and thin-plate spline
        smoothing. The package also provides prediction, empirical and
        sampling-weighted median effects, simulation tools, and
        sampling-weighted model fitting. The methodology extends the
        logistic Box-Cox approach of Xing et al. (2021)
        <doi:10.1002/cjs.11587>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Imports: methods, stats, parallel, fields
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-09-26 09:58:12 UTC; root
Author: Shiyu Xu [aut], Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <ubcxzhang@gmail.com>
Repository: https://ubcxzhang.r-universe.dev
Date/Publication: 2026-08-26 20:10:02 UTC
RemoteUrl: https://github.com/cran/mvboxcox
RemoteRef: HEAD
RemoteSha: 085a62e9f9c2efb99762f5fb431ab7ab2ebd4711