boxcoxmix-package: Box-Cox-Type Transformations for Linear and Logistic Models...

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

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

Description

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.

Details

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

Author(s)

Maintainer: Iago Giné-Vázquez [e-mail] (ORCID)

Authors:

• Amani Almohaimeed [e-mail] (ORCID)

• Jochen Einbeck [e-mail] (ORCID)

References

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 https://www.R-project.org/.

See Also

Useful links:

• https://gitlab.com/iagogv/boxcoxmix

• Report bugs at https://gitlab.com/iagogv/boxcoxmix/-/issues

boxcoxmix documentation built on Sept. 11, 2024, 8:26 p.m.