R: Modifications of the Cauchy Family Covariance Model

RMcauchytbm {RandomFields} | R Documentation

## Modifications of the Cauchy Family Covariance Model

### Description

`RMcauchytbm()` is a shortcut of `RMtbm(RMgencauchy())` and is given here for downwards compatibility

### Usage

    RMcauchytbm(alpha, beta, gamma, var, scale, Aniso, proj)

### Arguments

`alpha,beta` | see `RMgencauchy`.
`gamma` | is the same as `fulldim` in `RMtbm`.
`var,scale,Aniso,proj` | optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

### Value

`RMcauchytbm` returns an object of class `RMmodel`

### Author(s)

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

### References

- Gneiting, T. and Schlather, M. (2004) Stochastic models which separate fractal dimension and Hurst effect. SIAM review 46, 269–282.

### See Also

`RMcauchy`, `RMgencauchy`, `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 <- RMcauchytbm(alpha=1, beta=1, gamma=3)
    x <- seq(0, 10, 0.02)
    plot(model)
    plot(RFsimulate(model, x=x))

[Package RandomFields version 3.1.50 Index]