Bivariate Logistic Box-Cox Regression R package mvboxcox version 0.1.4 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>. Software Imports: methods, stats, parallel, fields Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Xuekui Zhang <ubcxzhang@gmail.com> Comprehensive R Archive Network (CRAN) Shiyu Xu [aut], Xuekui Zhang [aut, cre] GPL-3 2026-08-26 application/tgz https://CRAN.R-project.org/package=mvboxcox doi:10.32614/CRAN.package.mvboxcox