mvnTest-package: Goodness-of-fit tests for multivariate normality
In mvnTest: Goodness of Fit Tests for Multivariate Normality
Description
Details
Note
Author(s)
Description
mvnTest provides functions for assessing multivariate normality. It includes eight test statistics such as three Wald's type chi-squared tests (McCulloch, Nikulin-Rao-Robson and Dzhaparidze-Nikulin tests), non-parametric Anderson-Darling and Cramer-von Mises tests; Doornik-Hansen test, Royston test and Henze-Zirkler test.
Details
Package: mvnTest
Type: Package
License: GPL (>= 2)
Note
The printing method and plotting are in part adapted from R package MVN
(version 4.0, Korkmaz, S. et al., 2015)
Author(s)
Vassilly Voinov, Natalya Pya, Rashid Makarov, Yevgeniy Voinov
Maintainer: Natalya Pya <nat.pya@gmail.com>
mvnTest documentation built on May 2, 2019, 2:44 p.m.
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Description Details Note Author(s)
Description
mvnTest provides functions for assessing multivariate normality. It includes eight test statistics such as three Wald's type chi-squared tests (McCulloch, Nikulin-Rao-Robson and Dzhaparidze-Nikulin tests), non-parametric Anderson-Darling and Cramer-von Mises tests; Doornik-Hansen test, Royston test and Henze-Zirkler test.
Details
| Package: | mvnTest |
| Type: | Package |
| License: | GPL (>= 2) |
Note
The printing method and plotting are in part adapted from R package MVN
(version 4.0, Korkmaz, S. et al., 2015)
Author(s)
Vassilly Voinov, Natalya Pya, Rashid Makarov, Yevgeniy Voinov
Maintainer: Natalya Pya <nat.pya@gmail.com>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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