% 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 coefficients are returned in unconstrained form (the same used in the optimization algorithm). 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 coefficients which 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 coefficients associated with \code{object}. It must be have the same length of \code{coef{object}} and must be given in unconstrained form. \code{Object} must be initialized before new values can be assigned to its coefficients.} \item{\dots}{some methods for this generic require additional arguments. None are used in this method.} } \description{ This method function extracts the coefficients associated with the variance 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 coefficients of \code{object} to \code{value}. } \seealso{\code{\link{varFunc}}} \examples{ vf1 <- varPower(1) coef(vf1) %\dontrun{ coef(vf1) <- 2 %} } \keyword{models}