RandomFields: RMgennsst – R documentation

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RMgennsst

Non-Separable Space-Time model

Description

RMgennsst is a univariate stationary spaceisotropic covariance model on R^d whose corresponding covariance is given by

C(h,u)= φ( sqrt(h^\top ψ^{-1}(u) h)) / √(det(psi))

Usage

RMgennsst(phi, psi, dim_u, var, scale, Aniso, proj)

Arguments

`phi`	is a normal mixture `RMmodel`, cf. `RFgetModelNames(monotone="normal mixture")`.
`psi`	is a d-variate variogram model `RMmodel`.
`dim_u`	the dimension of the component `u`
`var,scale,Aniso,proj`	optional arguments; same meaning for any `RMmodel`. If not passed, the above covariance function remains unmodified.

Details

This model is used for space-time modelling where the spatial component is isotropic.

Value

RMgennsst returns an object of class RMmodel.

Author(s)

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

References

Schlather, M. (2010) On some covariance models based on normal scale mixtures. Bernoulli, 16, 780-797.

Examples

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