\name{TransformCon2Uncon}
\alias{TransformCon2Uncon}
\title{ A function to tranform the parameters from constrained to unconstrained parameterization } 
\description
 Given a vector of the parameters under constrained parameterization, a transformation of the parameters with constraints are transformed to un constrained space.
}
\usage{
TransformCon2Uncon(con)
}
\arguments{
  \item{con}{ A vector of constrained parameters, in the order of \code{cor.me}, \code{cor.true}, \code{mu1}, \code{mu2}, \code{v1},\code{v2} where \code{cor.me} and \code{cor.true} are between -1 and 1, \code{v1} and \code{v2} are greater or equal to zero}
}
\details{
}
\value{
  \item{uncon}{a vector of unconstrained 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 transformation are only specific to the measurement error model context and is for internal use only}
\seealso{\code{TransformUncon2Con}}
\examples{}
\keyword{}
