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https://github.com/cran/mvtBinaryEP
01 July 2024, 10:59:07 UTC
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Tip revision: bd876c4c9cc813f7c7b610832fa2793c250504d0 authored by Kunthel By on 25 January 2011, 00:00:00 UTC
version 1.0.1
Tip revision: bd876c4
ranMvnXch.Rd
\name{ranMvnXch}
\alias{ranMvnXch}
\title{ Multivariate Normal Data }
\description{
  Generates multivariate normal data based on an EXCHANGEABLE correlation matrix.
}
\usage{
ranMvnXch(rho, n, nRep = 1, seed = NULL)
}
%- maybe also 'usage' for other objects documented here.
\arguments{
  \item{rho}{ correlation }
  \item{n}{ cluster size }
  \item{nRep}{ number of clusters (replications)s }
  \item{seed}{ initializes the random number generator }
}
\details{
  This is more efficient than \code{ranMVN} and \code{ranMVN2} for exchangeable
  correlation.  The returned matrix of responses, call it Y,  has mean 0.  We require that
  \code{rho} is greater than zero.
}
\value{
  Returns a matrix of response variates of dimension \code{nRep} by \code{n}
  }

\seealso{ See Also \code{\link{ranMVN}}, \code{\link{ranMVN2}}, \code{\link{ep}} }

\keyword{ datagen }
\keyword{ distribution }
\keyword{ multivariate }

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