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.
| Version: |
0.2.1 |
| Depends: |
R (≥ 3.1.0) |
| Suggests: |
nortest, knitr |
| Published: |
2015-03-18 |
| Author: |
Yuchen Wang [aut, cre] |
| Maintainer: |
Yuchen Wang <ycwang0712 at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
jtrans results |
Documentation:
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