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 uiowa.edu> |
| License: | GPL-3 |
| URL: | https://github.com/petersonR/bestNormalize |
| 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: bestNormalize_0.2.2.zip, r-release: bestNormalize_0.2.2.zip, r-oldrel: bestNormalize_0.2.2.zip |
| 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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