boxcoxmix: Response Transformations for Random Effect and Variance Component Models

Response transformations for overdispersed generalized linear models and variance component models using nonparametric profile maximum likelihood estimation. The main function is optim.boxcox().

Version: 0.14
Depends: R (≥ 3.3.2)
Imports: statmod (≥ 1.4.20), qicharts (≥ 0.5.4)
Suggests: npmlreg, nlme, mdscore
Published: 2017-10-09
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_0.14.tar.gz
Windows binaries: r-devel: boxcoxmix_0.14.zip, r-release: boxcoxmix_0.14.zip, r-oldrel: boxcoxmix_0.14.zip
OS X El Capitan binaries: r-release: boxcoxmix_0.14.tgz
OS X Mavericks binaries: r-oldrel: boxcoxmix_0.14.tgz
Old sources: boxcoxmix archive

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