RPbrmixed(phi, tcf, xi, mu, s, meshsize, vertnumber, optim_mixed,
optim_mixed_tol, optim_mixed_maxpo, lambda, areamat, variobound) RPbrorig(phi, tcf, xi, mu, s)
RPbrshifted(phi, tcf, xi, mu, s)
RMmodel
;
specifies the covariance model to be simulated.phi
or
tcf
must be given.optim_mixed
if unknown. Default value is 1.RFoptions
RMmodel
xi
is always a number, i.e. $\xi$ is constant
in space. In contrast, $\mu$ and $s$ might be constant
numerical value or given a RMmodel
, in particular by a
RMtrend
model. The functions RPbrorig
, RPbrshifted
and RPbrmixed
simulate a Brown-Resnick process, which is defined by
model
. The functions correspond to the following ways of
simulation:
[object Object],[object Object],[object Object]
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
StartExample()## currently does not work
\dontrun{
model <- RPbrshifted(RMfbm(alpha=1.5), xi=0)
x <- 0:10
z <- RFsimulate(model=model, x=x, y=x, n=4)
plot(z)
}
FinalizeExample()
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