RandomFields (version 3.1.16)

RPt: 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

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)