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 using non-parametric profile maximum likelihood estimation, as introduced in Almohaimeed (2018) <> 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.

Version: 0.42
Depends: R (≥ 3.3.0)
Imports: statmod (≥ 1.4.27), qicharts (≥ 0.5.4), npmlreg (≥ 0.46-1)
Suggests: nlme, mdscore, flexmix, utils
Published: 2023-12-21
DOI: 10.32614/CRAN.package.boxcoxmix
Author: Iago Giné-Vázquez ORCID iD [cre], Amani Almohaimeed [aut], Jochen Einbeck [aut]
Maintainer: Iago Giné-Vázquez <iago.gin-vaz at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: boxcoxmix citation info
Materials: README NEWS
In views: MixedModels
CRAN checks: boxcoxmix results


Reference manual: boxcoxmix.pdf
Vignettes: boxcoxmix: An R Package for Response Transformations for Random Effect and Variance Component Models


Package source: boxcoxmix_0.42.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): boxcoxmix_0.42.tgz, r-oldrel (arm64): boxcoxmix_0.42.tgz, r-release (x86_64): boxcoxmix_0.42.tgz, r-oldrel (x86_64): boxcoxmix_0.42.tgz
Old sources: boxcoxmix archive


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