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mvboxcox  

Bivariate Logistic Box-Cox Regression
View on CRAN: Click here


Download and install mvboxcox package within the R console
Install from CRAN:
install.packages("mvboxcox")

Install from Github:
library("remotes")
install_github("cran/mvboxcox")

Install by package version:
library("remotes")
install_version("mvboxcox", "0.1.4")



Attach the package and use:
library("mvboxcox")
Maintained by
Xuekui Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-26
Latest Update: 2026-08-26
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>.
How to cite:
Xuekui Zhang (2026). mvboxcox: Bivariate Logistic Box-Cox Regression. R package version 0.1.4, https://cran.r-project.org/web/packages/mvboxcox. Accessed 27 Oct. 2026.
Previous versions and publish date:
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