R: Integral exponential operator

RMintexp {RandomFields} | R Documentation

## Integral exponential operator

### Description

`RMintexp` is a univariate stationary covariance model depending on a univariate variogram model phi. The corresponding covariance function only depends on the difference h between two points and is given by

C(h)=(1 - exp(-phi(h)))/phi(h)

### Usage

    RMintexp(phi, var, scale, Aniso, proj)

### Arguments

`phi` | a variogram `RMmodel`.
`var,scale,Aniso,proj` | optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

### Value

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

### Author(s)

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

### References

- Schlather, M. (2012) Construction of covariance functions and unconditional simulation of random fields. Lecture Notes in Statistics, Proceedings, 207, 25–54.

### See Also

`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

    model <- RMintexp(RMfbm(alpha=1.5, scale=0.2))
    x <- seq(0, 10, 0.02)
    plot(model)
    plot(RFsimulate(model, x=x))

[Package RandomFields version 3.1.50 Index]