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] |

Date of publication | 2015-03-18 09:52:46 |

Maintainer | Yuchen Wang <ycwang0712@gmail.com> |

License | GPL-2 |

Version | 0.2.1 |

jtrans

jtrans/NAMESPACE

jtrans/R

jtrans/R/qtls.R
jtrans/R/jtrans.R
jtrans/R/predict.R
jtrans/R/transeq.R
jtrans/R/fit_functions.R
jtrans/README.md

jtrans/MD5

jtrans/DESCRIPTION

jtrans/man

jtrans/man/transeq.Rd
jtrans/man/jtrans.Rd
jtrans/man/fit_functions.Rd
jtrans/man/predict_functions.Rd
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