RMmodelsAuxiliary: Auxiliary and other Models

Description Implemented models Author(s) See Also Examples

Description

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

Implemented models

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

Author(s)

Alexander Malinowski; \martin

See Also

RM

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
RFgetModelNames()

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