Package: osktnorm
Type: Package
Title: A Moment-Targeting Normality Transformation Based on Tukey g-h
        Distribution
Version: 1.1.2
Date: 2026-03-07
Authors@R: 
    c(person("Zeynel", "Cebeci", email = "cebeciz@gmail.com", role = c("aut", "cre")),
      person("Figen", "Ceritoglu", role = "aut"),
      person("Melis", "Celik Guney", role = "aut"),
      person("Adnan", "Unalan", role = "aut"))
Maintainer: Zeynel Cebeci <cebeciz@gmail.com>
Description: Implements a moment-targeting normality transformation
        based on the simultaneous optimization of Tukey g-h
        distribution parameters. The method is designed to minimize
        both asymmetry (skewness) and excess peakedness (kurtosis) in
        non-normal data by mapping it to a standard normal distribution
        (Cebeci et al., 2026 <doi:10.3390/sym18030458>). Optimization
        is performed by minimizing an objective function derived from
        the Anderson-Darling goodness-of-fit statistic with Stephens's
        correction factor, utilizing the L-BFGS-B algorithm for robust
        parameter estimation. This approach provides an effective
        alternative to power transformations like Box-Cox and
        Yeo-Johnson, particularly for data requiring precise
        tail-behavior adjustment.
Depends: R (>= 4.1.0)
Imports: Rcpp, stats, doParallel, foreach, parallel, groupcompare
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, readxl, writexl
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
Repository: https://zcebeci.r-universe.dev
Date/Publication: 2026-03-07 21:08:37 UTC
RemoteUrl: https://github.com/zcebeci/osktnorm
RemoteRef: HEAD
RemoteSha: d58595b8cfa4d10eee918de17231f1023150f562
NeedsCompilation: yes
Packaged: 2026-06-19 11:25:27 UTC; root
Author: Zeynel Cebeci [aut, cre],
  Figen Ceritoglu [aut],
  Melis Celik Guney [aut],
  Adnan Unalan [aut]