MVN: Multivariate Normality Tests

A suite of multivariate normality tests (Mardia, Henze–Zirkler, Royston, Doornik–Hansen, Energy), univariate diagnostics, robust outlier detection, bivariate density plots, and Box–Cox transformations (Korkmaz et al, (2014), <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>).

Version:	6.0
Depends:	R (≥ 3.5.0)
Imports:	methods, nortest, moments, MASS, boot, car, dplyr, tidyr, purrr, stringr, tibble, ggplot2, viridis, cli, energy, plotly
Published:	2025-05-28
DOI:	10.32614/CRAN.package.MVN
Author:	Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut]
Maintainer:	Selcuk Korkmaz <selcukorkmaz at gmail.com>
BugReports:	https://github.com/selcukorkmaz/MVN/issues
License:	MIT + file LICENSE
URL:	https://selcukorkmaz.github.io/mvn-tutorial/, https://github.com/selcukorkmaz/MVN
NeedsCompilation:	no
Citation:	MVN citation info
Materials:	README
CRAN checks:	MVN results

Documentation:

Reference manual:

MVN.pdf

Downloads:

Package source:	MVN_6.0.tar.gz
Windows binaries:	r-devel: MVN_5.9.zip, r-release: MVN_5.9.zip, r-oldrel: MVN_5.9.zip
macOS binaries:	r-release (arm64): MVN_6.0.tgz, r-oldrel (arm64): MVN_6.0.tgz, r-release (x86_64): MVN_6.0.tgz, r-oldrel (x86_64): MVN_6.0.tgz
Old sources:	MVN archive

Reverse dependencies:

Reverse imports:	DFA.CANCOR, KarsTS, RSP, stats4teaching
Reverse suggests:	micompr

Linking:

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