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power.transform  

Location and Scale Invariant Power Transformations
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/power.transform")

Install by package version:
library("remotes")
install_version("power.transform", "1.0.3")



Attach the package and use:
library("power.transform")
Maintained by
Alex Zwanenburg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-13
Latest Update: 2025-04-12
Description:
Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations allow for transforming variables with distributions distant from 0 to normality. Transformers are implemented as S4 objects. These allow for transforming new instances to normality after optimising fitting parameters on other data. A test for central normality allows for rejecting transformations that fail to produce a suitably normal distribution, independent of sample number.
How to cite:
Alex Zwanenburg (2024). power.transform: Location and Scale Invariant Power Transformations. R package version 1.0.3, https://cran.r-project.org/web/packages/power.transform. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2024-09-13 20:20), 1.0.1 (2025-04-12 16:30), 1.0.2 (2025-10-29 14:00), 1.0.3 (2026-01-15 18:40)
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Complete documentation for power.transform
Functions, R codes and Examples using the power.transform R package
Full power.transform package functions and examples
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