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RandomFields (version 3.1.16)

RFfunction: Evaluation operators (RF commands)

Description

Here, all the RF_name_ commands are listed.

Arguments

Functionals of <code><a rd-options="" href="/link/RMmodels?package=RandomFields&version=3.1.16" 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.
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

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

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

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

See Also

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

Examples

Run this code
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


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