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.