RPt: Simulation of T Random Fields
In RandomFields: Simulation and Analysis of Random Fields

Description Usage Arguments Value References See Also Examples

RPt defines a t field.

1	RPt(phi, boxcox, nu)

`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.

The function returns an object of class RMmodel.

Related to the extremal t process

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

Auxiliary RMmodels, RP, RPgauss.

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)