Hi R enthusiasts,
I am happy to announce a new package available on CRAN, bestNormalize
(https://cran.r-project.org/web/packages/bestNormalize/). bestNormalize can be
used for estimating a suite of normalizing transformations, including a new
technique based on ranks which can guarantee normally distributed transformed
data if there are no ties: ordered quantile normalization. The package is built
to estimate the best normalizing transformation for a vector consistently and
accurately. It implements the Box-Cox transformation, the Yeo-Johnson
transformation, three types of Lambert WxF transformations, and the ordered
quantile normalization transformation.
See the package vignette for a guide on how to use the package, as well as an
application to some (included) scraped Autotrader data.
If you encounter any issues or would like to make contributions, please do so
via the package's GitHub page: https://github.com/petersonR/bestNormalize
Ryan Peterson
[[alternative HTML version deleted]]
_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
