Package: osktnorm 1.1.2

osktnorm: A Moment-Targeting Normality Transformation Based on Tukey g-h Distribution

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.

Authors:Zeynel Cebeci [aut, cre], Figen Ceritoglu [aut], Melis Celik Guney [aut], Adnan Unalan [aut]

osktnorm_1.1.2.tar.gz
osktnorm_1.1.2.zip(r-4.7)osktnorm_1.1.2.zip(r-4.6)osktnorm_1.1.2.zip(r-4.5)
osktnorm_1.1.2.tgz(r-4.6-x86_64)osktnorm_1.1.2.tgz(r-4.6-arm64)osktnorm_1.1.2.tgz(r-4.5-x86_64)osktnorm_1.1.2.tgz(r-4.5-arm64)
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osktnorm_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
osktnorm/json (API)

# Install 'osktnorm' in R:
install.packages('osktnorm', repos = c('https://zcebeci.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zcebeci/osktnorm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • phenodata - Morphological and Agronomic Phenotype Data of Rice

On CRAN:

Conda:

cpp

4.48 score 371 downloads 17 exports 11 dependencies

Last updated from:d58595b8cf. Checks:12 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR172
linux-devel-x86_64ERROR123
source / vignettesERROR202
linux-release-arm64ERROR160
linux-release-x86_64ERROR112
macos-release-arm64ERROR148
macos-release-x86_64ERROR184
macos-oldrel-arm64ERROR128
macos-oldrel-x86_64ERROR403
windows-develERROR94
windows-releaseERROR99
windows-oldrelERROR119
wasm-releaseOK111

Exports:abcbackosktbackosktfastboxcoxcvmtestintlambertosktosktfastosktnormpearsonprewbcrewyjrjbtestyeojohnsonzatestzctest

Dependencies:bootcodetoolsdoParallelforeachgroupcompareiteratorslatticeRcppsmvioplotzoo

A Practical Example for Working with Datasets
Introduction | Required Packages | Normalizing Data from an Excel File | Load Required Packages for Excel I/O | Read Excel File | Visualization of Variables | Boxplots | Normality Tests for Original Values | Normalization with OSKT | Visualizing the Normalized Values | Histograms and Density Plots | Optimization Parameters | Normality Test Results | Saving the Normalized Data
Rendered fromosktnorm2.Rmdusingknitr::rmarkdown

Last update: 2026-03-07
Started: 2026-03-07

OSKT: Normalization via Optimized Skewness and Kurtosis
Introduction | Required Packages | Normality Transformation Using OSKT | Back Transformation: Recovering Original Values | Back-transformation Diagnostics | Comparison of Normality Methods
Rendered fromosktnorm1.Rmdusingknitr::rmarkdown

Last update: 2026-03-07
Started: 2026-03-07

OSKT: Normalization via Optimized Skewness and Kurtosis
Introduction | Required Packages | Normality Transformation Using OSKT | Back Transformation: Recovering Original Values | Back-transformation Diagnostics | Comparison of Normality Methods
Rendered fromosktnorm.Rmdusingknitr::rmarkdown

Last update: 2026-02-12
Started: 2026-02-12