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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.
Getting started
Browse package contents
Package details |
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| Author | Yuchen Wang [aut, cre] |
| Maintainer | Yuchen Wang <ycwang0712@gmail.com> |
| License | GPL-2 |
| Version | 0.2.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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