https://github.com/cran/multivariance
Revision a148f1f16b1aed5e55da85e3741b46f0a6899802 authored by Björn Böttcher on 10 December 2020, 14:50:03 UTC, committed by cran-robot on 10 December 2020, 14:50:03 UTC
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Tip revision: a148f1f16b1aed5e55da85e3741b46f0a6899802 authored by Björn Böttcher on 10 December 2020, 14:50:03 UTC
version 2.4.0
Tip revision: a148f1f
cdms.mu.bcd.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/multivariance-functions.R
\name{cdms.mu.bcd}
\alias{cdms.mu.bcd}
\title{computes the doubly centered distance matrices, mus and bcds}
\usage{
cdms.mu.bcd(x, vec = 1:ncol(x), membership = NULL, cdm.normalize = TRUE, ...)
}
\arguments{
\item{x}{matrix, each row is a sample}

\item{vec}{vector which indicates which columns are treated as one sample}

\item{membership}{depreciated. Now use \code{vec}.}

\item{...}{these are passed to \code{\link{cdm}}}
}
\value{
A list containing the following components:
\describe{
  \item{\code{list.cdm}}{list of the doubly centered distance matrices - these are always normalized if 'cdm.normalize = TRUE'!!!,}
  \item{\code{mu}}{matrix with the limit moments in a column for each variable,}
  \item{\code{bcd}}{matrix with b, c, d (which are required for the computation of the finite sample moments) in columns for each variable,}
  \item{\code{mean}}{vector with the mean of each distance matrix.}
}
}
\description{
computes the doubly centered distance matrices, mus and bcds
}
\keyword{internal}
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