RMplus: Addition of Random Field Models
In RandomFields: Simulation and Analysis of Random Fields

Description Usage Arguments Details Value See Also Examples

RMplus is an additive covariance model which depends on up to 10 submodels C_0, C_1, ..., C_9. In general, realizations of the created RMmodel are pointwise sums of independent realizations of the submodels.

In particular, if all submodels are given through a covariance function, the resulting model is defined through its covariance function, which is the sum of the submodels' covariances. Analogously, if all submodels are given through a variogram.

1	RMplus(C0, C1, C2, C3, C4, C5, C6, C7, C8, C9, var, scale, Aniso, proj)

`C0`	an `RMmodel`.
`C1,C2,C3,C4,C5,C6,C7,C8,C9`	optional; each an `RMmodel`.
`var,scale,Aniso,proj`	optional arguments; same meaning for any `RMmodel`. If not passed, the above model remains unmodified.

RMmodels can also be summed up via the +-operator, e.g. C0 + C1.

The global arguments var,scale,Aniso,proj of RMplus are multiplied to the corresponding arguments of the submodels (from the right side).

RMplus returns an object of class RMmodel.

RMmult, RMmodel, RMsum, RFsimulate, RFfit.

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

model <- RMplus(RMgauss(), RMnugget(var=0.1))
model2<- RMgauss() + RMnugget(var=0.1)
plot(model, "model.+"=model2, type=c("p", "l"), pch=20, xlim=c(0,3)) # the same