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\name{RMiaco}
\alias{RMiaco}
\title{Iaco-Cesare model}
\description{
The space-time covariance function is
\deqn{
C(r,t) = (1.0 + r^\nu + t^\lambda)^\delta
}
}
\usage{
RMiaco(nu, lambda, delta, var, scale, Aniso, proj)
}
\arguments{
\item{nu,lambda}{number in \eqn{(0,2]}}
\item{delta}{positive number}
\item{var,scale,Aniso,proj}{optional arguments; same meaning for any
\command{\link{RMmodel}}. If not passed, the above
covariance function remains unmodified.}
}
\value{
\command{\link{RMiaco}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}.
}
\references{
\itemize{
\item de Cesare, L., Myers, D.E., and Posa, D. (2002)
FORPRAN programs for space-time modeling. \emph{Computers \&
Geosciences} \bold{28}, 205-212.
\item de Iaco, S.. Myers, D.E., and Posa, D. (2002)
Nonseparable space-time covariance models: some parameteric
families. \emph{Math. Geol.} \bold{34}, 23-42.
}
}
\me
\seealso{
\command{\link{RMmodel}}.
}
\keyword{spatial}
\keyword{models}
\examples{\dontshow{StartExample()}
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
model <- RMiaco(nu=1, lambda=1.5, delta=0.5)
plot(model, dim=2)
x <- seq(0, 10, 0.1)
plot(RFsimulate(model, x=x, y=x))
\dontshow{FinalizeExample()}}
|
