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
DOI:	10.32614/CRAN.package.MVN
Author:	Selcuk Korkmaz [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 (source, R code)

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, RSP, stats4teaching
Reverse suggests:	micompr

Linking:

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