R: Simulation of a T Random Fields

RPt {RandomFields} | R Documentation

## Simulation of a T Random Fields

### Description

`RPt` defines a t fields.

### Usage

    RPt(phi, boxcox, nu)

### Arguments

`phi` | the `RMmodel`. If a model for the distribution is not specified, `RPgauss` is used as default and a covariance model is expected.
`boxcox` | the one or two parameters of the box cox transformation. If not given, the globally defined parameters are used. see `RFboxcox` for Details.
`nu` | non-negative number. Degree of freedom.

### Value

The function returns an object of class `RMmodel`

### Author(s)

Martin Schlather, schlather@math.uni-mannheim.de http://ms.math.uni-mannheim.de/de/publications/software

### References

Related to the extremal t process

- T. Opitz (2012) A spectral construction of the extremal t process. arxiv 1207.2296.

### See Also

`Auxiliary RMmodels`, `RP`, `RPgauss`

### Examples

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

    model <- RPt(RMexp(), nu=2)
    x <- seq(0, 10, 0.1)
    z <- RFsimulate(model, x, x, n=4)
    plot(z)

[Package RandomFields version 3.1.50 Index]