RMbicauchy: Bivariate Cauchy Model

In RandomFields: Simulation and Analysis of Random Fields

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.

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

RandomFields documentation built on Jan. 19, 2022, 1:06 a.m.