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 ORCID iD [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_6.0.zip, r-release: MVN_6.0.zip, r-oldrel: MVN_6.0.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:

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