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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.4 |
rolling source/ R- | power.transform_1.0.4.tar.gz |
203.3 KiB |
1.0.4 |
latest source/ R- | power.transform_1.0.4.tar.gz |
203.3 KiB |
1.0.4 |
2026-04-23 source/ R- | power.transform_1.0.4.tar.gz |
203.3 KiB |
1.0.4 |
2026-04-09 windows/windows R-4.5 | power.transform_1.0.4.zip |
527.8 KiB |