R: Non-Separable Space-Time model

RMgennsst {RandomFields} | R Documentation

## Non-Separable Space-Time model

### Description

`RMgennsst` is a univariate stationary spaceisotropic covariance model whose corresponding covariance is given by

C(h,u)= (ψ(u)+1)^{-δ/2} φ(h /√(ψ(u) +1))

### Usage

    RMgennsst(phi, psi, var, scale, Aniso, proj)

### Arguments

`phi` | is normal mixture `RMmodel`, cf. `RFgetModelNames(monotone="normal mixture")`
`psi` | is a variogram `RMmodel`.
`var,scale,Aniso,proj` | optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

### Details

This model is used for space-time modelling where the spatial component is isotropic.

### Value

`RMgennsst` returns an object of class `RMmodel`.

### Author(s)

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

### References

- Schlather, M. (2010) On some covariance models based on normal scale mixtures. Bernoulli, 16, 780-797.

### See Also

`RMnsst`, `RMmodel`, `RFsimulate`, `RFfit`.

### Examples

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

[Package RandomFields version 3.1.50 Index]