R: Evaluation operators (RF commands)

RFfunction {RandomFields} | R Documentation

## 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 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
`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)

Martin Schlather, schlather@math.uni-mannheim.de http://ms.math.uni-mannheim.de/de/publications/software

### 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

[Package RandomFields version 3.1.50 Index]