eigen.Rd
Pre-computed eigenvalues corresponding to the asymptotic sampling distribution of the energy test statistic for univariate normality, under the null hypothesis. Four Cases are computed:
Simple hypothesis, known parameters.
Estimated mean, known variance.
Known mean, estimated variance.
Composite hypothesis, estimated parameters.
Case 4 eigenvalues are used in the test function normal.test
when method=="limit"
.
data(EVnormal)
Numeric matrix with 125 rows and 5 columns; column 1 is the index, and columns 2-5 are the eigenvalues of Cases 1-4.
Computed
Szekely, G. J. and Rizzo, M. L. (2005) A New Test for Multivariate Normality, Journal of Multivariate Analysis, 93/1, 58-80, doi:10.1016/j.jmva.2003.12.002 .