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power.transform
View on CRAN: Click
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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", "1.0.0")
Attach the package and use:
library("power.transform")
Maintained by
Alex Zwanenburg
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[Scholar Profile | Author Map]
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First Published: 2024-09-13
Latest Update: 2024-09-13
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 1.0.0, https://cran.r-project.org/web/packages/power.transform. Accessed 28 Sep. 2024.
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