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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "mvboxcox" in publications use:'
type: software
license: GPL-3.0-only
title: 'mvboxcox: Bivariate Logistic Box-Cox Regression'
version: 0.1.4
doi: 10.32614/CRAN.package.mvboxcox
abstract: 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) <https://doi.org/10.1002/cjs.11587>.
authors:
- family-names: Xu
  given-names: Shiyu
  email: xushiyu98@outlook.com
- family-names: Zhang
  given-names: Xuekui
  email: ubcxzhang@gmail.com
repository: https://ubcxzhang.r-universe.dev
commit: 085a62e9f9c2efb99762f5fb431ab7ab2ebd4711
date-released: '2026-08-26'
contact:
- family-names: Zhang
  given-names: Xuekui
  email: ubcxzhang@gmail.com