Description Usage Arguments Value References Examples
Empirical power calculation using Bowman and Shenton Test Statistic.
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a |
significance level (α). |
n |
number of rows (observations). |
p |
number of columns (variables), n>p. |
B |
number of Monte Carlo simulations, default is 1000 (can increase B to increase the precision). |
FUN |
self-defined function for generate multivariate distribution. See example. |
... |
optional arguments passed to |
Returns a numeric value of the estimated empirical power (value between 0 and 1).
Bowman, K. O., & Shenton, L. R. (1975). Omnibus test contours for departures from normality based on √ b_1 and b_2. Biometrika, 62(2), 243-250.
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