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% File nlme/man/coef.varFunc.Rd% Part of the nlme package for R% Distributed under GPL 2 or later: see nlme/LICENCE.note\name{coef.varFunc}\title{varFunc Object Coefficients}\usage{\method{coef}{varFunc}(object, unconstrained, allCoef, \dots)\method{coef}{varIdent}(object, \dots) <- value}\alias{coef.varFunc}\alias{coef.varComb}\alias{coef.varConstPower}\alias{coef.varConstProp}\alias{coef.varExp}\alias{coef.varFixed}\alias{coef.varIdent}\alias{coef.varPower}\alias{coef<-.varComb}\alias{coef<-.varConstPower}\alias{coef<-.varConstProp}\alias{coef<-.varExp}\alias{coef<-.varFixed}\alias{coef<-.varIdent}\alias{coef<-.varPower}\arguments{\item{object}{an object inheriting from class \code{"\link{varFunc}"}representing a variance function structure.}\item{unconstrained}{a logical value. If \code{TRUE} the coefficientsare returned in unconstrained form (the same used in the optimizationalgorithm). If \code{FALSE} the coefficients are returned in"natural", generally constrained form. Defaults to \code{TRUE}.}\item{allCoef}{a logical value. If \code{FALSE} only the coefficientswhich may vary during the optimization are returned. If \code{TRUE}all coefficients are returned. Defaults to \code{FALSE}.}\item{value}{a vector with the replacement values for the coefficientsassociated with \code{object}. It must be have the same length of\code{coef{object}} and must be given in unconstrainedform. \code{Object} must be initialized before new values can beassigned to its coefficients.}\item{\dots}{some methods for this generic require additionalarguments. None are used in this method.}}\description{This method function extracts the coefficients associated with thevariance function structure represented by \code{object}.}\value{a vector with the coefficients corresponding to \code{object}.}\author{José Pinheiro and Douglas Bates }\section{SIDE EFFECTS}{On the left side of an assignment, sets the values of the coefficientsof \code{object} to \code{value}.}\seealso{\code{\link{varFunc}}}\examples{vf1 <- varPower(1)coef(vf1)%\dontrun{coef(vf1) <- 2%}}\keyword{models}