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prepkit: Data Normalization and Transformation

Provides functions for data normalization and transformation in preprocessing stages. Implements scaling methods (min-max, Z-score, L2 normalization) and power transformations (Box-Cox, Yeo-Johnson). Box-Cox transformation is described in Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Yeo-Johnson transformation in Yeo and Johnson (2000) <doi:10.1093/biomet/87.4.954>.

Version: 0.1.1
Depends: R (≥ 3.5)
Imports: ggplot2
Suggests: testthat (≥ 3.0.0)
Published: 2026-01-23
DOI: 10.32614/CRAN.package.prepkit
Author: Rui Gong ORCID iD [aut, cre]
Maintainer: Rui Gong <gongrui4432 at gmail.com>
BugReports: https://github.com/Gonrui/prepkit/issues/
License: MIT + file LICENSE
URL: https://gonrui.github.io/prepkit/, https://github.com/Gonrui/prepkit/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: prepkit results

Documentation:

Reference manual: prepkit.html , prepkit.pdf

Downloads:

Package source: prepkit_0.1.1.tar.gz
Windows binaries: r-devel: prepkit_0.1.1.zip, r-release: prepkit_0.1.1.zip, r-oldrel: prepkit_0.1.1.zip
macOS binaries: r-release (arm64): prepkit_0.1.1.tgz, r-oldrel (arm64): prepkit_0.1.1.tgz, r-release (x86_64): prepkit_0.1.1.tgz, r-oldrel (x86_64): prepkit_0.1.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.