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Tip revision: e03023db232593f436717e7be27d1c52d9865644 authored by Kunthel By on 18 February 2009, 00:00:00 UTC
version 1.0
Tip revision: e03023d
\title{ Multivariate Normal Data }
  Generates multivariate normal data based on an EXCHANGEABLE correlation matrix.
ranMvnXch(rho, n, nRep = 1, seed = NULL)
%- maybe also 'usage' for other objects documented here.
  \item{rho}{ correlation }
  \item{n}{ cluster size }
  \item{nRep}{ number of clusters (replications)s }
  \item{seed}{ initializes the random number generator }
  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.
  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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