RandomFields (version 3.1.16)

RMfractdiff: Fractionally Differenced Process Model

Description

RMfractdiff is a stationary isotropic covariance model. The corresponding covariance function only depends on the distance $r \ge 0$ between two points and is given for integers $r$ by $$C(r) = (-1)^r \frac{ \Gamma(1-a/2)^2 }{ \Gamma(1-a/2+r) \Gamma(1-a/2-r) } r \in {\bf N}$$ and otherwise linearly interpolated. Here $-1 \le a < 1$, $\Gamma$ denotes the gamma function. It can only be used for one-dimensional random fields.

Usage

RMfractdiff(a, var, scale, Aniso, proj)

Arguments

a

$-1 \le a < 1$

var,scale,Aniso,proj

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

Value

RMfractdiff returns an object of class RMmodel.

Details

The model is only valid for dimension $d = 1 $. It stems from time series modelling where the grid locations are multiples of the scale parameter.

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 <- RMfractdiff(0.5, scale=0.2)
x <- seq(0, 10, 0.02)
plot(model)
plot(RFsimulate(model, x=x))