mvboxcox
Bivariate Logistic Box-Cox Regression
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling linux/jammy R-4.5 | mvboxcox_0.1.4.tar.gz |
531.1 KiB |
0.1.4 |
rolling linux/noble R-4.5 | mvboxcox_0.1.4.tar.gz |
531.5 KiB |
0.1.4 |
rolling source/ R- | mvboxcox_0.1.4.tar.gz |
727.1 KiB |
0.1.4 |
latest linux/jammy R-4.5 | mvboxcox_0.1.4.tar.gz |
531.1 KiB |
0.1.4 |
latest linux/noble R-4.5 | mvboxcox_0.1.4.tar.gz |
531.5 KiB |
0.1.4 |
latest source/ R- | mvboxcox_0.1.4.tar.gz |
727.1 KiB |
0.1.4 |
2026-04-23 source/ R- | mvboxcox_0.1.4.tar.gz |
0 B |