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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, RSP, stats4teaching
Reverse suggests: micompr

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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