Learn R Programming

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.

Copy Link

Version

Install

install.packages('boxcoxmix')

Monthly Downloads

223

Version

0.46

License

GPL (>= 3)

Maintainer

Iago Gin<c3><a9>-V<c3><a1>zquez

Last Published

August 21st, 2024

Functions in boxcoxmix (0.46)

np.boxcoxmix

Response Transformations for Random Effect and Variance Component Models
print.boxcoxmix

Summary of boxcoxmix functions
plot.boxcoxmix

Plot diagnostics for boxcoxmix functions
boxcoxmix-package

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

Box-Cox-type link function for logistic mixed-effects Models
np.boxcox

Internal boxcoxmix functions
optim.boxcox

Response Transformations for Random Effect and Variance Component Models
tolfind.boxcox

Grid search over tol for NPPML estimation of random effect and variance component models
Kfind.boxcox

Grid search over K for NPML estimation of random effect and variance component models