RMschur: Schur product
In RandomFields: Simulation and Analysis of Random Fields

Description Usage Arguments Value References See Also Examples

The covariance function is

C(x)= M * φ(x)

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

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

`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 the 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.

RMschur returns an object of class RMmodel.

RMmodel, RMmatrix.

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))