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)