RMmodelsAuxiliary: Auxiliary and other Models
In RandomFields: Simulation and Analysis of Random Fields

Description Implemented models Author(s) See Also Examples

Here, auxiliary models are given that are not covariance functions or variograms, but which might be used within the definition of a model.

Distribution families See RR.

Evaluation operators See RF.

Random Fields / Random Processes See RP.

Mathematical functions See R.

Shape functions

Besides any of the covariance functions the following functions can be used as shape functions.

`RMangle`	defines an anisotropy matrix by angle and a diagonal matrix
`RMball`	Indicator of a ball of radius 1/2
`RMm2r`	spectral function belonging to a tail correlation function of the Gneiting class H_n
`RMm3b`	spectral function belonging to a tail correlation function of the Gneiting class H_n
`RMmppplus`	operator to define mixed moving maxima (M3) processes
`RMmps`	spectral functions belonging to a tail correlation function of the Gneiting class H_n
`RMpolygon`	Indicator of a typical Poisson polygon
`RMrational`	shape function used in the Bernoulli paper given in the references
`RMrotat`	shape function used in the Bernoulli paper given in the references
`RMsign`	random sign
`RMtruncsupport`	truncates the support of a shape in a Poisson based model

Special transformations

`RMeaxxa`	shape function used in the Bernoulli paper given in the references
`RMetaxxa`	shape function used in the Bernoulli paper given in the references
`RMidmodel`	model identity
`RMid`	identity but interpretation turns from a coordinate to a model value
`RMtrafo`	allows to model the identity within the set of coordinates
`RMrotation`	shape function used in the Bernoulli paper given in the references

Other models

`RMuser`	User defined covariance model

Alexander Malinowski; \martin

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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
RFgetModelNames()