bestNormalize: Normalizing Transformation Functions

Estimate a suite of normalizing transformations, including a new technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization. The package is built to estimate the best normalizing transformation for a vector consistently and accurately. It implements the Box-Cox transformation, the Yeo-Johnson transformation, three types of Lambert WxF transformations, and the ordered quantile normalization transformation.

Version: 1.0.0
Depends: R (≥ 3.1.0)
Imports: LambertW, nortest, parallel
Suggests: knitr, MASS, testthat, mgcv
Published: 2018-01-04
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan-peterson at uiowa.edu>
License: GPL-3
URL: https://github.com/petersonR/bestNormalize
NeedsCompilation: no
Citation: bestNormalize citation info
Materials: README NEWS
CRAN checks: bestNormalize results

Downloads:

Reference manual: bestNormalize.pdf
Vignettes: bestNormalize
Package source: bestNormalize_1.0.0.tar.gz
Windows binaries: r-devel: bestNormalize_1.0.0.zip, r-release: bestNormalize_1.0.0.zip, r-oldrel: bestNormalize_1.0.0.zip
OS X El Capitan binaries: r-release: bestNormalize_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: bestNormalize_1.0.0.tgz
Old sources: bestNormalize archive

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