MVN: Multivariate Normality Tests

Performs multivariate normality tests and graphical approaches and implements multivariate outlier detection and univariate normality of marginal distributions through plots and tests, and performs multivariate Box-Cox transformation (Korkmaz et al, (2014), <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>).

Version: 5.9
Depends: R (≥ 3.5.0)
Imports: methods, nortest, moments, MASS, plyr, psych, boot, energy, car
Suggests: BiocStyle, knitr, rmarkdown
Published: 2021-06-30
Author: Selcuk Korkmaz ORCID iD [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: MVN citation info
Materials: README
CRAN checks: MVN results

Documentation:

Reference manual: MVN.pdf
Vignettes: MVN: An R Package for Assessing Multivariate Normality

Downloads:

Package source: MVN_5.9.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_5.9.tgz, r-oldrel (arm64): MVN_5.9.tgz, r-release (x86_64): MVN_5.9.tgz, r-oldrel (x86_64): MVN_5.9.tgz
Old sources: MVN archive

Reverse dependencies:

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

Linking:

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