moments.for.pearson: computes the moments as required for Pearson's approximation
In multivariance: Measuring Multivariate Dependence Using Distance Multivariance

computes the moments as required for Pearson's approximation

1	moments.for.pearson(N, bcd, mu, mmean, type = "multi")

`N`	sample size
`bcd`	an array with b c d
`mu`	the limit moments
`mmean`	the means of the distance matrices

Note: It is currently only implemented for the case of normalized multivariance, i.e., the OUTPUT values correspond to normalized multivariance!

multivariance documentation built on Oct. 6, 2021, 5:08 p.m.

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