RandomFields (version 3.0.32)

Others: Auxiliary and other Models

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.

Shape functions Besides any of the covariance functions the following functions can be used as shape functions. ll{ 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 ll{ RMeaxxa shape function used in the Bernoulli paper given in the references RMetaxxa shape function used in the Bernoulli paper given in the references RMrotation shape function used in the Bernoulli paper given in the references } Other models ll{ RMcoord passing new coordinates in a mixed model RMuser User defined covariance model }

See Also

RFformula, RMmodels, RMmodelsAdvanced

Examples

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again
(type <- RC_TYPE[(0:1) -length(RC_TYPE)])
RFgetModelNames(type=type, group.by="type")
FinalizeExample()