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Estimation, selection and comparison of several families of transformations. The families of transformations included in the package are the following: Bickel-Doksum (Bickel and Doksum 1981 <doi:10.2307/2287831>), Box-Cox, Dual (Yang 2006 <doi:10.1016/j.econlet.2006.01.011>), Glog (Durbin et al. 2002 <doi:10.1093/bioinformatics/18.suppl_1.S105>), gpower (Kelmansky et al. 2013 <doi:10.1515/sagmb-2012-0030>), Log, Log-shift opt (Feng et al. 2016 <doi:10.1002/sta4.104>), Manly, modulus (John and Draper 1980 <doi:10.2307/2986305>), Neglog (Whittaker et al. 2005 <doi:10.1111/j.1467-9876.2005.00520.x>), Reciprocal and Yeo-Johnson. The package simplifies to compare linear models with untransformed and transformed dependent variable as well as linear models where the dependent variable is transformed with different transformations. Furthermore, the package employs maximum likelihood approaches, moments optimization and divergence minimization to estimate the optimal transformation parameter.
Version: | 1.0.1 |
Depends: | R (≥ 3.2.4) |
Imports: | FNN, moments, pryr, graphics, grDevices, lmtest |
Suggests: | testthat, R.rsp |
Published: | 2018-11-27 |
DOI: | 10.32614/CRAN.package.trafo |
Author: | Lily Medina [aut], Piedad Castro [aut], Ann-Kristin Kreutzmann [aut, cre], Natalia Rojas-Perilla [aut] |
Maintainer: | Ann-Kristin Kreutzmann <ann-kristin.kreutzmann at fu-berlin.de> |
License: | GPL-2 |
Copyright: | see file COPYRIGHTS |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | trafo results |
Reference manual: | trafo.pdf |
Vignettes: |
The R package trafo for Transforming Linear Regression Models |
Package source: | trafo_1.0.1.tar.gz |
Windows binaries: | r-devel: trafo_1.0.1.zip, r-release: trafo_1.0.1.zip, r-oldrel: trafo_1.0.1.zip |
macOS binaries: | r-release (arm64): trafo_1.0.1.tgz, r-oldrel (arm64): trafo_1.0.1.tgz, r-release (x86_64): trafo_1.0.1.tgz, r-oldrel (x86_64): trafo_1.0.1.tgz |
Old sources: | trafo archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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