Movatterモバイル変換


[0]ホーム

URL:


power.transform: Location and Scale Invariant Power Transformations

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.

Version:1.0.2
Depends:R (≥ 3.5)
Imports:data.table, methods,rlang (≥ 1.0.0),nloptr
Suggests:ggplot2 (≥ 3.4.0),testthat (≥ 3.0.0)
Published:2025-10-29
DOI:10.32614/CRAN.package.power.transform
Author:Alex ZwanenburgORCID iD [aut, cre], Steffen Löck [aut], German Cancer Research Center (DKFZ) [cph]
Maintainer:Alex Zwanenburg <alexander.zwanenburg at nct-dresden.de>
BugReports:https://github.com/oncoray/power.transform/issues
License:EUPL version 1.1 |EUPL version 1.2 [expanded from: EUPL]
URL:https://github.com/oncoray/power.transform
NeedsCompilation:no
Materials:NEWS
CRAN checks:power.transform results

Documentation:

Reference manual:power.transform.html ,power.transform.pdf

Downloads:

Package source: power.transform_1.0.2.tar.gz
Windows binaries: r-devel:power.transform_1.0.2.zip, r-release:power.transform_1.0.2.zip, r-oldrel:power.transform_1.0.2.zip
macOS binaries: r-release (arm64):power.transform_1.0.2.tgz, r-oldrel (arm64):power.transform_1.0.2.tgz, r-release (x86_64):power.transform_1.0.2.tgz, r-oldrel (x86_64):power.transform_1.0.2.tgz
Old sources: power.transform archive

Reverse dependencies:

Reverse suggests:familiar

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=power.transformto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp