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\name{RMcovariate}
\alias{RMcovariate}
\alias{RM_COVARIATE}
\title{Model for covariates}
\description{
The model makes covariates available.
}
\usage{
RMcovariate(formula=NULL, data, x, y=NULL, z=NULL, T=NULL, grid,
raw, norm, addNA, factor)
}
\arguments{
\item{formula, data}{formula and by which the data should be modelled,
similar to \link[stats]{lm}.
If \code{formula} is not given, the the linear model is given by the
data themselves.
}
\item{x,y,z,T,grid}{optional.
The usual arguments as in \command{\link{RFsimulate}} to define the
locations where the covariates are given.
}
% \item{var}{optional arguments; same meaning for any
% \command{\link{RMmodel}}. If not passed, the above
% covariance function remains unmodified.}
% \item{factor}{vector or matrix of numerical values.
% The length of the vector must match the given number of locations.
% }
%
% \item{var}{variance, i.e. factor multiplied to the data, which can be
% estimated through ML
% }
\item{raw}{\argRaw }
\item{norm}{\argNorm}
\item{addNA}{
If \code{addNA} is \code{TRUE}, then an additional
(linear) factor is estimated in an estimation framework.
This parameter must be set in particular when \command{RMcovariate}
passes several covariates.
}
\item{factor}{real value. From user's point of view very much the same
as setting the argument \code{var}}.
}
\note{
\itemize{
\item \code{c}, \code{x}
also accept lists of data. However, its use is not in an advanced
stage yet.
}
}
\details{
The function interpolates (nearest neighbour) between the values.
}
\value{
\command{\link{RMcovariate}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}.
}
\me
\seealso{
\command{\link{RMfixcov}},
\command{\link{RMmodel}},
\command{\link{RMtrend}}
}
\examples{\dontshow{StartExample(reduced = FALSE)}
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
z <- 0.2 + (1:10)
RFfctn(RMcovariate(z), 1:10)
RFfctn(RMcovariate(data=z, x=1:10), c(2, 2.1, 2.5, 3))
\dontshow{FinalizeExample()}}
\keyword{spatial}
\keyword{models}
|
