The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>.
| Version: | 0.1.4 |
| Imports: | methods, stats, parallel, fields |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-08-26 |
| DOI: | 10.32614/CRAN.package.mvboxcox |
| Author: | Shiyu Xu [aut], Xuekui Zhang [aut, cre] |
| Maintainer: | Xuekui Zhang <ubcxzhang at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mvboxcox results |
| Reference manual: | mvboxcox.html , mvboxcox.pdf |
| Vignettes: |
Bivariate Logistic Box-Cox Regression with mvboxcox (source, R code) |
| Package source: | mvboxcox_0.1.4.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: mvboxcox_0.1.4.zip |
| macOS binaries: | r-release (arm64): mvboxcox_0.1.4.tgz, r-oldrel (arm64): mvboxcox_0.1.4.tgz, r-release (x86_64): mvboxcox_0.1.4.tgz, r-oldrel (x86_64): mvboxcox_0.1.4.tgz |
Please use the canonical form https://CRAN.R-project.org/package=mvboxcox to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.