MVN: Multivariate Normality Tests

Assessing the assumption of multivariate normality is required by many parametric multivariate statistical methods, such as discriminant analysis, principal component analysis, MANOVA, etc. Here, we present an R package to asses multivariate normality. The MVN package contains three most widely used multivariate normality tests, including Mardia's, Henze-Zirkler's and Royston's multivariate normality tests.

Version: 3.4
Depends: R (≥ 2.15.0), nortest, moments, MASS
Imports: methods
Suggests: knitr
Published: 2014-04-26
Author: Selcuk Korkmaz and Dincer Goksuluk
Maintainer: Selcuk Korkmaz <selcuk.korkmaz at hacettepe.edu.tr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MVN results

Downloads:

Reference manual: MVN.pdf
Vignettes: Multivariate Normality Tests
Package source: MVN_3.4.tar.gz
Windows binaries: r-devel: MVN_3.4.zip, r-release: MVN_3.4.zip, r-oldrel: MVN_3.4.zip
OS X Snow Leopard binaries: r-release: MVN_3.4.tgz, r-oldrel: MVN_3.4.tgz
OS X Mavericks binaries: r-release: MVN_3.4.tgz
Old sources: MVN archive