Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Alex Zwanenburg [aut, cre] (<https://orcid.org/0000-0002-0342-9545>), Steffen Löck [aut], German Cancer Research Center (DKFZ) [cph] |
| Maintainer | Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de> |
| License | EUPL |
| Version | 1.0.1 |
| URL | https://github.com/oncoray/power.transform |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the power.transform package in your browser
Any scripts or data that you put into this service are public.
