jtrans: Johnson Transformation for Normality

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.

AuthorYuchen Wang [aut, cre]
Date of publication2015-03-18 09:52:46
MaintainerYuchen Wang <ycwang0712@gmail.com>
LicenseGPL-2
Version0.2.1

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