Powerful Tests for Multivariate Normality

Documentation for package ‘mvnormalTest’ version 1.0.1

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