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\name{linearComb-methods}
\docType{methods}
\alias{linearComb}
\alias{linearComb-methods}
\alias{linearComb,unmarkedEstimate,matrixOrVector-method}
\alias{linearComb,unmarkedFit,matrixOrVector-method}
\alias{show,unmarkedLinComb-method}
\title{Methods for Function linearComb in Package `unmarked'}
\description{
Methods for function \code{linearComb} in Package `unmarked'
}
\section{Methods}{
\describe{
\item{obj = "unmarkedEstimate", coefficients = "matrixOrVector"}{Typically
called internally}
\item{obj = "unmarkedFit", coefficients = "matrixOrVector"}{Returns
linear combinations of parameters from a fitted model. Coefficients
are supplied through coefficients. The required argument \code{type}
specifies which model estimate to use. You can use
\code{names(fittedmodel)} to view possible values for the \code{type} argument.}
}}
\keyword{methods}
\examples{
data(ovendata)
ovenFrame <- unmarkedFrameMPois(ovendata.list$data,
siteCovs=as.data.frame(scale(ovendata.list$covariates[,-1])), type = "removal")
fm <- multinomPois(~ 1 ~ ufc + trba, ovenFrame)
linearComb(fm, c(1, 0.5, 0.5), type = "state")
linearComb(fm, matrix(c(1, 0.5, 0.5, 1, 0, 0, 1, 0, 0.5), 3, 3,
byrow=TRUE), type="state")
}
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