boxcoxmix-package {boxcoxmix}R Documentation

Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects


Box-Cox-type transformations for linear and logistic models with random effects using non-parametric profile maximum likelihood estimation. The main functions are optim.boxcox() for linear models with random effects and boxcoxtype() for logistic models with random effects.


Package: boxcoxmix
Type: Package
Version: 0.28
Date: 2020-09-17
License: GPL (>=3)


Amani Almohaimeed and Jochen Einbeck


Box G. and Cox D. (1964). An analysis of transformations. Journal of the Royal Statistical Society. Series B (Methodological), pages 211-252.

Aitkin, M. A., Francis, B., Hinde, J., and Darnell, R. (2009). Statistical modelling in R. Oxford University Press Oxford.

Jochen Einbeck, Ross Darnell and John Hinde (2014). npmlreg: Nonparametric maximum likelihood estimation for random effect models. R package version 0.46-1.

R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL

Maintainer: Amani Almohaimeed <>

[Package boxcoxmix version 0.28 Index]