RPcoin: Random coin method
In RandomFields: Simulation and Analysis of Random Fields

Description Usage Arguments Value References See Also Examples

The random coin method (or dilution method) is a simulation method for stationary Gaussian random fields. It is based on the following procedure: For a stationary Poisson point process on R^d consider the random field

Y(y) = ∑_{x\in X} f(y-x)

for a function f. The covariance of Y is proportional to the convolution

C(h) = \int f(x)f(x+h) dx

If the intensity of the Poisson point process increases, the random field Y approaches a Gaussian random field with covariance function C.

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RPcoins(phi, shape, boxcox, intensity, method) 

RPaverage(phi, shape, boxcox, intensity, method)

`phi`	object of class `RMmodel`; specifies the covariance function of the Poisson process; either `phi` or `shape` must be given.
`shape`	object of class `RMmodel`; specifies the function which is attached to the Poisson points; note that this is not the covariance function of the simulated random field.
`boxcox`	the one or two parameters of the box cox transformation. If not given, the globally defined parameters are used. See `RFboxcox` for details.
`intensity`	positive number, intensity of the underlying Poisson point process.
`method`	integer. Default is the value `0` which addresses the current standard procedure. There might be further methods implemented mainly for internal purposes.