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]|
|Maintainer||Yuchen Wang <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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