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 outlook.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
AID results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=AID
to link to this page.