Logistic Box Cox

The logistic Box-Cox model is a formal method, which can accommodate the non-linear relationship between the log-odds and exposure via a shape parameter. Thus, it is superior to the common two-step approach, which adds a data transformation step before fitting a logistic regression model to accommodate any non-linearity in the disease-exposure relationship. This package includes key functions in our model and dataset for simulation. Simulation experiments can be reproduced following the Vignette.


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install.packages("LBC")

1.0 by Haoxue Wang, 20 days ago


https://github.com/wanghaoxue0/LBC


Report a bug at https://github.com/wanghaoxue0/LBC/issues


Browse source code at https://github.com/cran/LBC


Authors: Haoxue Wang [aut, cre] (Development of the whole packages) , Li Xing [aut] (Authors of some functions) , Xuekui Zhang [aut] (Revison of this package) , Igor Burstyn [aut] (Revison of this package) , Paul Gustafson [aut] (Revison of this package)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats

Suggests knitr, rmarkdown


See at CRAN