Other packages > Find by keyword >

bestNormalize  

Normalizing Transformation Functions
View on CRAN: Click here


Download and install bestNormalize package within the R console
Install from CRAN:
install.packages("bestNormalize")

Install from Github:
library("remotes")
install_github("cran/bestNormalize")

Install by package version:
library("remotes")
install_version("bestNormalize", "1.9.1")



Attach the package and use:
library("bestNormalize")
Maintained by
Ryan Andrew Peterson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-14
Latest Update: 2023-08-18
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 estimates the normalization efficacy of other commonly used transformations, and it allows users to specify custom transformations or normalization statistics. Finally, functionality can be integrated into a machine learning workflow via recipes.
How to cite:
Ryan Andrew Peterson (2017). bestNormalize: Normalizing Transformation Functions. R package version 1.9.1, https://cran.r-project.org/web/packages/bestNormalize. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.2 (2017-11-14 17:26), 1.0.0 (2018-01-04 21:42), 1.0.1 (2018-02-05 19:48), 1.1.0 (2018-05-29 22:50), 1.2.0 (2018-05-31 00:28), 1.3.0 (2018-09-25 19:40), 1.4.0 (2019-05-13 21:00), 1.4.2 (2019-08-20 23:20), 1.4.3 (2020-01-27 18:00), 1.5.0 (2020-04-18 06:20), 1.6.0 (2020-05-20 23:40), 1.6.1 (2020-06-08 21:40), 1.7.0 (2021-03-02 00:10), 1.8.0 (2021-06-03 13:20), 1.8.1 (2021-09-02 16:50), 1.8.2 (2021-09-16 07:10), 1.8.3 (2022-06-13 22:50), 1.9.0 (2023-03-15 22:20)
Other packages that cited bestNormalize R package
View bestNormalize citation profile
Other R packages that bestNormalize depends, imports, suggests or enhances
Complete documentation for bestNormalize
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA