The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

mvnormalTest: Powerful Tests for Multivariate Normality

A simple informative powerful test (mvnTest()) for multivariate normality proposed by Zhou and Shao (2014) <doi:10.1080/02664763.2013.839637>, which combines kurtosis with Shapiro-Wilk test that is easy for biomedical researchers to understand and easy to implement in all dimensions. This package also contains some other multivariate normality tests including Fattorini's FA test (faTest()), Mardia's skewness and kurtosis test (mardia()), Henze-Zirkler's test (mhz()), Bowman and Shenton's test (msk()), Royston’s H test (msw()), and Villasenor-Alva and Gonzalez-Estrada's test (msw()). Empirical power calculation functions for these tests are also provided. In addition, this package includes some functions to generate several types of multivariate distributions mentioned in Zhou and Shao (2014).

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats, nortest, moments, copula
Suggests: knitr
Published: 2020-04-28
DOI: 10.32614/CRAN.package.mvnormalTest
Author: Yian Zhang [aut, cre], Ming Zhou [aut], Yongzhao Shao [aut]
Maintainer: Yian Zhang <yz2777 at nyu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-US
CRAN checks: mvnormalTest results

Documentation:

Reference manual: mvnormalTest.pdf

Downloads:

Package source: mvnormalTest_1.0.0.tar.gz
Windows binaries: r-devel: mvnormalTest_1.0.0.zip, r-release: mvnormalTest_1.0.0.zip, r-oldrel: mvnormalTest_1.0.0.zip
macOS binaries: r-release (arm64): mvnormalTest_1.0.0.tgz, r-oldrel (arm64): mvnormalTest_1.0.0.tgz, r-release (x86_64): mvnormalTest_1.0.0.tgz, r-oldrel (x86_64): mvnormalTest_1.0.0.tgz

Reverse dependencies:

Reverse suggests: FAfA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mvnormalTest 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.