cdms.mu.bcd {multivariance}R Documentation

computes the centered distance matrices, mus and bcds

Description

computes the centered distance matrices, mus and bcds

Usage

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

Arguments

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

Value

A list containing the following components:

list.cdm

list of the centered distance matrices,

mu

matrix with the limit moments in a column for each variable,

bcd

matrix with b, c, d (which are required for the computation of the finite sample moments) in columns for each variable,

mean

vector with the mean of each distance matrix.


[Package multivariance version 2.2.0 Index]