jtrans: Johnson Transformation for Normality

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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

View on CRAN

Man pages

fit_functions
Fit Functions for Johnson Curves
jtrans
Johnson Transformation for Normality
predict_functions
Predict functions for Johnson Transformation
transeq
Export the transformation equation into LaTeX

Files in this package

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