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trafo: Estimation, Comparison and Selection of Transformations

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

Documentation:

Reference manual: trafo.pdf
Vignettes: The R package trafo for Transforming Linear Regression Models

Downloads:

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

Linking:

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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.