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bestNormalize

1.9.2

Normalizing Transformation Functions

9packages depend
84.1Kdownloads / year
89.0%test coverage
13/13checks pass

Overview

About
Maintained by Ryan A PetersonFirst published 2017-11-1420 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.67
89.0%
Coverage · measured lines
100%
Documentation · exports
13
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-30
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-03-28
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 455 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
93%
Documented parameters
96%
Return-value docs
94%
References docs
26%

Downloads

84.1K
CRAN downloads in the past year
Rank #1,607 · ~230/day · ~7K/mo
Daily download trend is not available in this view yet.
4.6K30 days
15.9K90 days
84.1K1 year
Compare downloads with other packages →
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Repository

Repository
43Stars
7Forks
0Open issues
0Open PRs
16Releases
192Commits
5Contributors
192 commits · Last activity 2026-06-04 · 0% stars, 30d

Stars over time

2025-08-04 · 412026-07-07 · 43

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/petersonr/bestnormalize on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdrevdep/
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Show all practices
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.0
LinkingTo (0)
none
Enhances (0)
none

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer · added in 1.9.2
Authors (1)
Author, Maintainer · added in 1.9.2
Listed in earlier versions (1)
no longer listed · 0.2.2 to 1.9.1
Package Timeline

20 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.9.2Latest
    2025-11-30 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.9.1
    2023-08-18 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.9.0
    2023-03-15 · diff ↗
  • 1.8.3
    2022-06-13 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.8.2
    2021-09-16 · diff ↗
  • 1.8.1
    2021-09-02 · diff ↗
  • 1.8.0
    2021-06-03 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.7.0
    2021-03-02 · diff ↗
  • 1.6.1
    2020-06-08 · diff ↗
  • 1.6.0
    2020-05-20 · diff ↗
Show 14 earlier events
  • R
    R 4.0.0 released · 2020-04-24
  • 1.5.0
    2020-04-18 · diff ↗
  • 1.4.3
    2020-01-27 · diff ↗
  • 1.4.2
    2019-08-20 · diff ↗
  • 1.4.0
    2019-05-13 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.3.0
    2018-09-25 · diff ↗
  • 1.2.0
    2018-05-31 · diff ↗
  • 1.1.0
    2018-05-29 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.1
    2018-02-05 · diff ↗
  • 1.0.0
    2018-01-04 · diff ↗
  • 0.2.2
    2017-11-14
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-11-14
Total releases
20 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.1.0
Bundled data
158 KB / 1 file
Download size
1.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bestNormalize")
Peterson, R. A. (2025). bestNormalize: Normalizing Transformation Functions (Version 1.9.2) [Computer software]. https://doi.org/10.32614/CRAN.package.bestNormalize

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bestNormalize version 1.9.2 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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