normality.test2 {normwn.test} | R Documentation |
Performs the Doornik-Hansen omnibus test for normality with allowance for the variable(s) being weakly dependent rather than independent. The test was implicitly suggested by an article by Lobato and Velasco (2004)
normality.test2(x)
x |
input matrix by row n (observations) and column p (variables) |
In the univariate case, the input matrix is row n (observations) by 1
A list with class htest
containing the following components:
sk |
skewness statistics |
k |
kurtosis statistics |
rtb1 |
skewness of standardized variables |
b2 |
kurtosis of standardized variables |
z1 |
skewness of transformed variables |
z2 |
kurtosis of transformed variables |
pvalsk |
p-values under null of no skewness |
pskneg |
p-values under null of no negative skewness |
ppskpos |
p-values under null of no positive skewness |
pvalk |
p-values under null of no kurtosis |
pkneg |
p-values under null of no negative kurtosis |
pkpos |
p-values under null of no positive kurtosis |
Ep |
value of normality test statistic |
dof |
degrees of freedom |
Sig.Ep |
significance of normality test statistic |
Peter Wickham
Doornik, J.A, and H. Hansen (1994). "An Omnibus Test for Univariate and Multivariate Normality. Working Paper, Nuffield College, Oxford, U.K. Lobato, I., and C. Velasco (2004). "A Simple Test of Normality of Time Series". Econometric Theory, 20, 671-689, Cambridge University Press.
normality.test1