bestNormalize

Normalizing Transformation Functions

Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ). ORQ normalization combines a rank-mapping approach with a shifted logit approximation that allows the transformation to work on data outside the original domain. It is also able to handle new data within the original domain via linear interpolation. 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. It also estimates the normalization efficacy of other commonly used transformations.

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Description file content

Package
bestNormalize
Type
Package
Title
Normalizing Transformation Functions
Version
1.4.0
Date
2019-05-13
Description
Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ). ORQ normalization combines a rank-mapping approach with a shifted logit approximation that allows the transformation to work on data outside the original domain. It is also able to handle new data within the original domain via linear interpolation. 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. It also estimates the normalization efficacy of other commonly used transformations.
URL
License
GPL-3
Depends
R (>= 3.1.0)
Imports
LambertW, nortest, dplyr, doParallel, foreach, doRNG
Suggests
knitr, rmarkdown, MASS, testthat, mgcv, parallel
VignetteBuilder
knitr
LazyData
true
RoxygenNote
6.1.1
Encoding
UTF-8
NeedsCompilation
no
Packaged
2019-05-13 18:11:16 UTC; rpterson
Author
Ryan Andrew Peterson [aut, cre]
Maintainer
Ryan Andrew Peterson
Repository
CRAN
Date/Publication
2019-05-13 19:00:04 UTC

install.packages('bestNormalize')

1.4.0

3 months ago

https://github.com/petersonR/bestNormalize

Ryan Andrew Peterson

GPL-3

Depends on

R (>= 3.1.0)

Imports

LambertW, nortest, dplyr, doParallel, foreach, doRNG

Suggests

knitr, rmarkdown, MASS, testthat, mgcv, parallel

Discussions