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. The main functions are optim.boxcox() for linear models with random effects and boxcoxtype() for logistic models with random effects.

Version: 0.28
Depends: R (≥ 3.3.0)
Imports: statmod (≥ 1.4.27), qicharts (≥ 0.5.4), npmlreg (≥ 0.46-1)
Suggests: nlme, mdscore, flexmix, utils
Published: 2020-09-17
Author: Amani Almohaimeed and Jochen Einbeck
Maintainer: Amani Almohaimeed <amani.almohaimeed at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: boxcoxmix results

Downloads:

Reference manual: boxcoxmix.pdf
Vignettes: boxcoxmix: An R Package for Response Transformations for Random Effect and Variance Component Models
Package source: boxcoxmix_0.28.tar.gz
Windows binaries: r-devel: boxcoxmix_0.28.zip, r-release: boxcoxmix_0.21.zip, r-oldrel: boxcoxmix_0.28.zip
macOS binaries: r-release: boxcoxmix_0.21.tgz, r-oldrel: boxcoxmix_0.28.tgz
Old sources: boxcoxmix archive

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