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 widely used multivariate normality tests, including Mardia's, Henze-Zirkler's, Royston's, graphical approaches, including chi-square Q-Q plot, perspective plot and contour plot and two outlier detection methods based on Mahalanobis distance. We have also developed web-tool version of the package which is available at http://www.biosoft.hacettepe.edu.tr/MVN/.
Version: | 3.7 |
Depends: | R (≥ 2.15.0) |
Imports: | methods, nortest, moments, MASS, robustbase, mvoutlier, plyr |
Suggests: | knitr |
Published: | 2014-11-16 |
Author: | Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Gokmen Zararsiz [aut] |
Maintainer: | Selcuk Korkmaz <selcuk.korkmaz at hacettepe.edu.tr> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://www.biosoft.hacettepe.edu.tr/MVN/ |
NeedsCompilation: | no |
CRAN checks: | MVN results |
Reference manual: | MVN.pdf |
Vignettes: |
Multivariate Normality Tests |
Package source: | MVN_3.7.tar.gz |
Windows binaries: | r-devel: MVN_3.7.zip, r-release: MVN_3.7.zip, r-oldrel: MVN_3.7.zip |
OS X Snow Leopard binaries: | r-release: MVN_3.7.tgz, r-oldrel: MVN_3.7.tgz |
OS X Mavericks binaries: | r-release: MVN_3.7.tgz |
Old sources: | MVN archive |