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mvnormalTest  

Powerful Tests for Multivariate Normality
View on CRAN: Click here


Download and install mvnormalTest package within the R console
Install from CRAN:
install.packages("mvnormalTest")

Install from Github:
library("remotes")
install_github("cran/mvnormalTest")

Install by package version:
library("remotes")
install_version("mvnormalTest", "1.0.0")



Attach the package and use:
library("mvnormalTest")
Maintained by
Yian Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-28
Latest Update: 2020-04-28
Description:
A simple informative powerful test (mvnTest()) for multivariate normality proposed by Zhou and Shao (2014) , 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
How to cite:
Yian Zhang (2020). mvnormalTest: Powerful Tests for Multivariate Normality. R package version 1.0.0, https://cran.r-project.org/web/packages/mvnormalTest. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that mvnormalTest depends, imports, suggests or enhances
Complete documentation for mvnormalTest
Functions, R codes and Examples using the mvnormalTest R package
Some associated functions: IMMV . MVNMIX . PSII . PSVII . SPH . copulas . faTest . mardia . mhz . msk . msw . mvnTest . power.faTest . power.mhz . power.msk . power.mswR . power.mswV . power.mvnTest . power.usw . 
Some associated R codes: function.R .  Full mvnormalTest package functions and examples
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