RandomFields (version 3.1.16)

RFfunction: Evaluation operators (RF commands)

Description

Here, all the RF_name_ commands are listed.

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

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