R: Bivariate Cauchy Model

RMbicauchy {RandomFields} | R Documentation

## Bivariate Cauchy Model

### Description

`RMbicauchy` is a bivariate stationary isotropic covariance model whose corresponding covariance function only depends on the distance r ≥ 0 between two points

For constraints on the constants see details.

### Usage

    RMbicauchy(alpha, beta, s, rho, var, scale, Aniso, proj)

### Arguments

`alpha` | [to be done]
`beta` | [to be done]
`s` | a vector of length 3 of numerical values; each entry positive; the vector (s_{11},s_{21},s_{22})
`rho` | [to be done]
`var,scale,Aniso,proj` | optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

### Details

Constraints on the constants: [to be done]

### Value

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

### Author(s)

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

### References

- Moreva, O., Schlather, M. (2016) Modelling and simulation of bivariate Gaussian random fields. arXiv 1412.1914

### See Also

`RMcauchy`, Multivariate RMmodels,

### Examples

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

    ## todo

[Package RandomFields version 3.1.50 Index]