\name{TransformUncon2Con}
\alias{TransformUncon2Con}
\title{ A function to tranform the parameters from unconstrained to constrained parameterization } 
\description
 Given a vector of the parameters under unconstrained parameterization, a transformation of the parameters are transformed to constrained space.
}
\usage{
TransformUncon2Con(uncon)
}
\arguments{
  \item{uncon}{ A vector of unconstrained parameters, in the order of \code{cor.me}, \code{cor.true}, \code{mu1}, \code{mu2}, \code{v1},\code{v2} where all parameters are between -Inf and Inf}
}
\details{
}
\value{
  \item{con}{a vector of constrained parameters, with the same length as input vector}
}
\references{Ding, B.Y. and Gentleman, R.(2003) Measurement error model for correlation coeffcient estimation and its application in microarray analsysis}
\author{ Beiying Ding }
\note{The tranformations are specific to the Measurement Error Model context and is for internal use only }
\seealso{\code{TransformCon2Uncon}}
\examples{}
\keyword{}
