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RF

Evaluation operators (RF commands)

Description

Here, all the RF_name_ commands are listed.

Functionals of RMmodels

The user's RMmodel is supplemented internally by operators that are tacitely assumed, e.g. RPgauss.

Further completions of the user's model determine what should be done with the model, e.g. calculation of the covariance (RFcov). The following list gives those RFfunctions that have an internal representation as completion to the user's model.

RFcalc performs some simple calculations based on R.models
RFcov assigns to a covariance model the covariance values at given locations
RFcovmatrix assigns to a covariance model the matrix of covariance values at given locations
RFdistr generic function assigning to a distribution family various values of the distribution
RFfctn assigns to a model the value of the function at given locations. In case of a covariance model RFfctn is identical to RFcov.
RFlikelihood assigns to a model and a dataset the (log)likelihood value.
RFlinearpart assigns to a model and a set of coordinates the linear part of the model, i.e. the deterministic trend and the design matrix.
RFpseudovariogram assigns to a model the values of the pseudo variogram at given locations
RFsimulate assigns to a model a realisation of the corresponding random field
RFvariogram assigns to a model the values of the (cross-)variogram at given locations

Estimation and Inference

RFcrossvalidate cross validation for Gaussian fields
RFvariogram empirical variogram
RFfit (maximum likelihood) fitting of the parameters
RFinterpolate 'kriging' and 'imputing'
RFratiotest likelihood ratio test for Gaussian fields

Graphics for Gaussian fields

RFgui educational tool for
* manual selection of a covariance model
* manual fitting to the empirical variogram
RFfractaldim determination of the fractal dimension
RFhurst determination of the Hurst effect (long range dependence)

Coordinate transformations

RFearth2cartesian transformation of earth coordinates to cartesian coordinates
RFearth2dist transformation of earth coordinates to Euclidean distances

Information from and to RandomFields

RFgetMethodNames currently implemented list of simulation methods
RFgetModel returns the model used in a RFfunction, with some more details
RFgetModelInfo similar to RFgetModel, but with detailed information on the implementation
RFgetModelNames lists the implemented models
RFoptions options of package RandomFields

Author(s)

See Also

Examples

RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

z <- RFsimulate(model=RMexp(), 1:10)
RFgetModel(RFsimulate, show.call = TRUE)  # user's definition
RFgetModel(RFsimulate, show.call = FALSE) # main internal part
RandomFields

Simulation and Analysis of Random Fields

v3.3.10
GPL (>= 3)
Authors
Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb], Brian D. Ripley [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]
Initial release

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