cdms: computes the doubly centered distance matrices
In multivariance: Measuring Multivariate Dependence Using Distance Multivariance

computes the doubly centered distance matrices

1	cdms(x, vec = 1:ncol(x), membership = NULL, ...)

`x`	matrix, each row is a sample
`vec`	vector which indicates which columns are treated as one sample
`membership`	depreciated. Now use `vec`.
`...`	these are passed to `cdm`

It returns a list of distance matrices.

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

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