RandomFields: RMbistable – R documentation

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RMbistable

Bivariate stable Model

Description

RMbistable 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

RMbistable(alpha, s, cdiag, rho, rhored, betared, alphadiag, var, scale, Aniso, proj)

Arguments

`alpha,alphadiag`	[to be done]
`s`	a vector of length 3 of numerical values; each entry positive; the vector (s_{11},s_{21},s_{22})
`cdiag`	[to be done]
`rho,rhored`	[to be done]
`betared`	to do
`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

RMbistable returns an object of class RMmodel.

Author(s)

Martin Schlather, schlather@math.uni-mannheim.de, https://www.wim.uni-mannheim.de/schlather/

References

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

Examples

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

## todo

RandomFields

Simulation and Analysis of Random Fields

v3.3.10

GPL (>= 3)

Authors

Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb], Brian D. Ripley [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]

Initial release