Package: normality 0.0.2

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.

Authors:Joon-Keat Lai [aut, cre, cph]

normality_0.0.2.tar.gz
normality_0.0.2.zip(r-4.7)normality_0.0.2.zip(r-4.6)normality_0.0.2.zip(r-4.5)
normality_0.0.2.tgz(r-4.6-any)normality_0.0.2.tgz(r-4.5-any)
normality_0.0.2.tar.gz(r-4.7-any)normality_0.0.2.tar.gz(r-4.6-any)
normality_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
normality/json (API)
NEWS

# Install 'normality' in R:
install.packages('normality', repos = c('https://p10911004-npust.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/p10911004-npust/normality/issues

Datasets:

On CRAN:

Conda:

data-analysisnormalitystatistics

3.30 score 4 scripts 6 exports 0 dependencies

Last updated from:3b3ba86da3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK221
linux-release-x86_64OK102
macos-release-arm64OK105
macos-oldrel-arm64OK85
windows-develOK92
windows-releaseOK82
windows-oldrelOK69
wasm-releaseOK87

Exports:Anderson_Darling_testD.Agostino_Pearson_testis_tiedkurtosisShapiro_Wilk_testskewness

Dependencies: