R: Addition of Random Field Models

RMplus {RandomFields} | R Documentation

## Addition of Random Field Models

### Description

`RMplus` is an additive covariance model which depends on up to 10 submodels C_0, C_1, ..., C_10. 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.

### Usage

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

### Arguments

`C0` | a `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.

### Details

`RMmodel`s 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).

### Value

`RMplus` returns an object of class `RMmodel`

### Author(s)

Martin Schlather, schlather@math.uni-mannheim.de

### See Also

`RMmult`, `RMmodel`, `RMsum`, `RFsimulate`, `RFfit`.

### Examples

    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

[Package RandomFields version 3.1.50 Index]