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mvnTest: Goodness of Fit Tests for Multivariate Normality

Routines for assessing multivariate normality. Implements three Wald's type chi-squared tests; non-parametric Anderson-Darling and Cramer-von Mises tests; Doornik-Hansen test, Royston test and Henze-Zirkler test.

Version: 1.1-0
Depends: R (≥ 2.15.0), mvtnorm
Imports: methods, stats, graphics, MASS
Published: 2016-02-10
Author: Natalya Pya [aut, cre], Vassilly Voinov [aut], Rashid Makarov [aut], Yevgeniy Voinov [aut]
Maintainer: Natalya Pya <nat.pya at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mvnTest results

Documentation:

Reference manual: mvnTest.pdf

Downloads:

Package source: mvnTest_1.1-0.tar.gz
Windows binaries: r-devel: mvnTest_1.1-0.zip, r-release: mvnTest_1.1-0.zip, r-oldrel: mvnTest_1.1-0.zip
macOS binaries: r-release (arm64): mvnTest_1.1-0.tgz, r-oldrel (arm64): mvnTest_1.1-0.tgz, r-release (x86_64): mvnTest_1.1-0.tgz, r-oldrel (x86_64): mvnTest_1.1-0.tgz

Linking:

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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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