R: Schur product

RMschur {RandomFields} | R Documentation

## Schur product

### Description

The covariance function is

C(x)= M * φ(x)

where ‘*’ denotes the Schur product, i.e. elementwise multiplication

### Usage

    RMschur(phi, M,  diag, rhored, var, scale, Aniso, proj)

### Arguments

`phi` | covariance function of class `RMmodel`.
`M` | constant n x n covariance matrix of the same size as multivariate model `phi`
`diag,rhored` | alternative way of passing `M`: `diag` is a vector of variances, `rhored` is a vector containing the correlations of lower triangle of the `M`
`var,scale,Aniso,proj` | optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

### Value

`RMschur` returns an object of class `RMmodel`

### Author(s)

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

### References

- ?

### See Also

`RMmodel`, `RMmatrix`,

### Examples

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

    model <- RMschur(M=matrix(c(2, 1, 1, 1), ncol=2), RMparswm(nudiag=c(0.5, 2)))
    plot(model)
    x <- seq(0, 10, 0.02)
    plot(RFsimulate(model, x=x))

[Package RandomFields version 3.1.50 Index]