Transforming univariate non-normal data to normality using Johnson families of distributions. Johnson family is a comprehensive distribution family that accommodates many kinds of non-normal distributions. A bunch of distributions with various parameters will be fit and the corresponding p-values under a user-specified normality test will be given. The final transformation will be the one with the largest p-value under the given normality test.
|Author||Yuchen Wang [aut, cre]|
|Date of publication||2015-03-18 09:52:46|
|Maintainer||Yuchen Wang <[email protected]>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.