AID: Box-Cox Power Transformation

Performs Box-Cox power transformation for a single non-normal variable, ANOVA (Dag and Ilk, 2017) <doi:10.1080/03610918.2016.1204458> and Linear Models via different estimation techniques: maximum likelihood estimation, least square estimation, goodness-of-fit tests (Asar et al., 2017) <doi:10.1080/03610918.2014.957839>, artificial covariate (Dag et al., 2014) <doi:10.1080/03610918.2012.744042>, meta analysis (Yilmaz and Dag, 2022) <doi:10.28979/jarnas.1037343>. It also performs graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.

Version: 2.8
Depends: R (≥ 3.2.0)
Imports: MASS, tseries, nortest, ggplot2, graphics, psych, stats, meta, stringr
Suggests: onewaytests
Published: 2023-03-31
Author: Osman Dag [aut, cre], Ozgur Asar [aut], Ozlem Ilk [aut], Muhammed Ali Yilmaz [aut]
Maintainer: Osman Dag <osman.dag at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: AID results


Reference manual: AID.pdf


Package source: AID_2.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): AID_2.8.tgz, r-oldrel (arm64): AID_2.8.tgz, r-release (x86_64): AID_2.8.tgz, r-oldrel (x86_64): AID_2.8.tgz
Old sources: AID archive

Reverse dependencies:

Reverse imports: mlmts
Reverse suggests: onewaytests


Please use the canonical form to link to this page.