1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
|
\name{RMsum}
\alias{RMsum}
\title{Plain scalar product}
\description{
\command{\link{RMsum}} is given by
\deqn{C(x,y) = \phi(x) + \phi(y) }{C(x,y) = \phi(x) + \phi(y).}
It is a negative definite function although not a variogram.
}
\usage{
RMsum(phi, var, scale, Aniso, proj)
}
\arguments{
\item{phi}{any function of class \code{\link[=RMmodel-class]{RMmodel}}
}
\item{var,scale,Aniso,proj}{optional arguments; same meaning for any
\command{\link{RMmodel}}. If not passed, the above
covariance function remains unmodified.}
}
%\details{}
\value{
\command{\link{RMsum}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}.
}
\note{
Do not mix up this model with \command{\link{RMplus}}.
}
%\references{
% Wendland, H. \emph{Scattered Data Approximation} (2005) Cambridge: Cambridge
% University Press.
%}
\me
\seealso{
\command{\link{RMmodel}},
\command{\link{RMplus}},
\command{\link{RMprod}}.
}
\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
\dontshow{\dontrun{
RFfctn(RMsum(RMexp()), 1:10, grid=FALSE)
RFfctn(RMsum(RMexp()), 1:10, 1:10, grid=FALSE)
RFfctn(RMsum(RMexp()), as.matrix(1:10), as.matrix(1:10), grid=FALSE)
}}
\dontshow{FinalizeExample()}
}
|
