RMpenta: Penta Covariance Model

Description Usage Arguments Details Value References See Also Examples

View source: R/RMmodels.R

Description

RMpenta is a stationary isotropic covariance model, which is only valid for dimensions d ≤ 3. The corresponding covariance function only depends on the distance r ≥ 0 between two points and is given by

C(r)=(1 - 22/3 r^{2} + 33 r^{4} - 77/2 r^{5} + 33/2 r^{7} - 11/2 r^{9} + 5/6 r^{11}) 1_{[0,1]}(r).

Usage

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RMpenta(var, scale, Aniso, proj)

Arguments

var,scale,Aniso,proj

optional arguments; same meaning for any RMmodel. If not passed, the above covariance function remains unmodified.

Details

The model is only valid for dimensions d ≤ 3.

It has a 4 times differentiable covariance function with compact support (cf. Chiles, J.-P. and Delfiner, P. (1999), p. 84).

Value

RMpenta returns an object of class RMmodel.

References

See Also

RMmodel, RFsimulate, RFfit.

Examples

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

model <- RMpenta()
x <- seq(0, 10, 0.02)
plot(model)
plot(RFsimulate(model, x=x))

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