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-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
