# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "power.transform" in publications use:' type: software license: EUPL-1.0 title: 'power.transform: Location and Scale Invariant Power Transformations' version: 1.0.0 doi: 10.32614/CRAN.package.power.transform abstract: 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. authors: - family-names: Zwanenburg given-names: Alex email: alexander.zwanenburg@nct-dresden.de orcid: https://orcid.org/0000-0002-0342-9545 - family-names: Löck given-names: Steffen repository: https://oncoray.r-universe.dev repository-code: https://github.com/oncoray/power.transform commit: 3fe29cd075f7248b1680c37d74a7b98fb8efd5a1 url: https://github.com/oncoray/power.transform contact: - family-names: Zwanenburg given-names: Alex email: alexander.zwanenburg@nct-dresden.de orcid: https://orcid.org/0000-0002-0342-9545