R: Powerful Tests for Multivariate Normality

# Powerful Tests for Multivariate Normality

## Documentation for package ‘mvnormalTest’ version 1.0.1

- DESCRIPTION file

## Help Pages

copulas | Random Generation for the Copula Generated Distributions
faTest | Rotational Robust Shapiro-Wilk Type (SWT) Test for Multivariate Normality (FA Test of Fattorini)
IMMV | Random Generation for Distribution with Independent Marginals
mardia | Mardia Test (Skewness and Kurtosis) for Multivariate Normality
mhz | Henze-Zirkler Test for Multivariate Normality
msk | Bowman and Shenton Test for Multivariate Normality
msw | Shapiro-Wilk Type (SWT) Tests for Multivariate Normality
MVNMIX | Random Generation for the Normal Mixture Distribution
mvnTest | A Powerful Test for Multivariate Normality (Zhou-Shao's Test)
power.faTest | Power Calculation using the Fattorini's FA Test Statistic
power.mhz | Power Calculation using the Henze-Zirkler Test Statistic
power.msk | Power Calculation using the Bowman and Shenton Test Statistic
power.mswR | Power Calculation using the SWT-based Royston Test Statistic
power.mswV | Power Calculation using the SWT-based Villasenor-Alva and Gonzalez-Estrada (VAGE) Test Statistic
power.mvnTest | Power Calculation using the Zhou-Shao's Multivariate Normality Test Statistic (T_n)
power.usw | Power Calculation using the Univariate Shapiro-Wilk Test Statistic
PSII | Random Generation for the Spherically Symmetric Pearson Type II Distribution
PSVII | Random Generation for the Spherically Symmetric Pearson Type VII Distribution
SPH | Random Generation for General Spherically Symmetric Distributions