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 |
| Reference manual: | jtrans.pdf |
| Package source: | jtrans_0.2.1.tar.gz |
| Windows binaries: | r-devel: jtrans_0.2.1.zip, r-release: jtrans_0.2.1.zip, r-oldrel: jtrans_0.2.1.zip |
| macOS binaries: | r-release: jtrans_0.2.1.tgz, r-oldrel: jtrans_0.2.1.tgz |
| Old sources: | jtrans archive |
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