RandomFields (version 3.1.12)

RFfunction: Evaluation operators (RF commands)

Description

Here, all the RF_name_ commands are listed.

Functionals of <code><a href="/link/RMmodels?package=RandomFields&version=3.1.12" rd-options="" data-mini-rdoc="RandomFields::RMmodels">RMmodels</a></code>

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 represenation as completion to the user's model. ll{ 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 random sample) 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

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

Graphics for Gaussian fields

ll{ 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

ll{ RFearth2cartesian transformation of earth coordinates to cartesian coordinates RFearth2dist transformation of earth coordinates to Euclidean distances }

Information from and to RandomFields

ll{ 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 }

See Also

RC, RM, RP, RR, R., RMmodelgenerator

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

FinalizeExample()