RMma {RandomFields}R Documentation

Ma operator

Description

RMma is a univariate stationary covariance model depending on a univariate stationary covariance model. The corresponding covariance function only depends on the difference h between two points and is given by

C(h) = (θ / (1 - (1-θ) * φ(h)))^α

Usage

RMma(phi, alpha, theta, var, scale, Aniso, proj)

Arguments

phi

a stationary covariance RMmodel.

alpha

a numerical value; positive

theta

a numerical value; in the interval (0,1)

var,scale,Aniso,proj

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

Value

RMma returns an object of class RMmodel

Author(s)

Martin Schlather, schlather@math.uni-mannheim.de

References

See Also

RMmodel, RFsimulate, RFfit.

Examples

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

model <- RMma(RMgauss(), alpha=4, theta=0.5)
x <- seq(0, 10, 0.02)
plot(model)
plot(RFsimulate(model, x=x))
[Package RandomFields version 3.1.50 Index]