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.
Maintainer: Iago Giné-Vázquez iago.gin-vaz@protonmail.com (ORCID)
Authors:
Amani Almohaimeed ama.almohaimeed@qu.edu.sa (ORCID)
Jochen Einbeck jochen.einbeck@durham.ac.uk (ORCID)
| Package: | boxcoxmix |
| Type: | Package |
| Version: | 0.28 |
| Date: | 2020-09-17 |
| License: | GPL (>=3) |
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/.
Useful links: