RF: Evaluation operators (RF commands)
In RandomFields: Simulation and Analysis of Random Fields

Description Functionals of RMmodels Estimation and Inference Graphics for Gaussian fields Coordinate transformations Information from and to RandomFields See Also Examples

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

`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

`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)

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

`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

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

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