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prepkit  

Data Normalization and Transformation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("prepkit", "0.1.1")



Attach the package and use:
library("prepkit")
Maintained by
Rui Gong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-23
Latest Update: 2026-01-23
Description:
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>.
How to cite:
Rui Gong (2026). prepkit: Data Normalization and Transformation. R package version 0.1.1, https://cran.r-project.org/web/packages/prepkit. Accessed 14 Mar. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for prepkit
Functions, R codes and Examples using the prepkit R package
Full prepkit package functions and examples
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