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normality: Tests for Departure from Normality

A toolkit for assessing data normality using a comprehensive collection of statistical methods. It includes descriptive measures and formal hypothesis tests, such as skewness and kurtosis tests, the Anderson–Darling test, the Shapiro–Wilk test, and the D'Agostino–Pearson K2 omnibus test.

Version: 0.0.1
Depends: R (≥ 3.5)
Suggests: testthat (≥ 3.0.0)
Published: 2026-06-09
DOI: 10.32614/CRAN.package.normality
Author: Joon-Keat Lai ORCID iD [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004 at gmail.com>
BugReports: https://github.com/P10911004-NPUST/normality/issues
License: MIT + file LICENSE
URL: https://github.com/P10911004-NPUST/normality
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: normality results

Documentation:

Reference manual: normality.html , normality.pdf

Downloads:

Package source: normality_0.0.1.tar.gz
Windows binaries: r-devel: normality_0.0.1.zip, r-release: normality_0.0.1.zip, r-oldrel: normality_0.0.1.zip
macOS binaries: r-release (arm64): normality_0.0.1.tgz, r-oldrel (arm64): normality_0.0.1.tgz, r-release (x86_64): normality_0.0.1.tgz, r-oldrel (x86_64): normality_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=normality to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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