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: 0.2.2
Depends: R (≥ 3.1.0)
Imports: LambertW, nortest
Suggests: knitr, MASS, testthat, mgcv
Published: 2017-11-14
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan-peterson at>
License: GPL-3
NeedsCompilation: no
Citation: bestNormalize citation info
Materials: README NEWS
CRAN checks: bestNormalize results


Reference manual: bestNormalize.pdf
Vignettes: bestNormalize
Package source: bestNormalize_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: bestNormalize_0.2.2.tgz
OS X Mavericks binaries: r-oldrel: bestNormalize_0.2.2.tgz


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