Description
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, as introduced in Almohaimeed (2018) <http://etheses.dur.ac.uk/12831/> and Almohaimeed and Einbeck (2022) <doi:10.1177/1471082X20966919>. The main functions are 'optim.boxcox()' for linear models with random effects and 'boxcoxtype()' for logistic models with random effects.
README.md
boxcoxmix
boxcoxmix: An R package for response transformations for random effects and variance component models
boxcoxmix provides 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.