R: Internal models

RMintern {RandomFields} | R Documentation

## Internal models

### Description

Internal models or model names that may appear in feedbacks from 'RandomFields'. Those ending by ‘Intern’ should appear only in very rare cases.

### Details

The following and many more internal models exist

- RF__Name__ : internal representation of certain functions RF__name__

- `RO#` : model for transforming coordinates within the cartesian system

- `RO>` : model for transforming earth coordinates to cartesian coordinates

- `ROmissing` : for error messages only

- `RMmixed` : internal representation of a mixed model

- `RMselect` : will be obsolete in future

- `RMsetparam`, `RMptsGivenShape`, `RMstandardShape`, `RMstatShape` : for max-stable processes and Poisson processes: models that combine shape functions with corresponding point processes

- `RP__name__Intern` : internal representations of some processes

- `RPS`, `RPplusp`, etc. : specific processes for RMS and RMplus etc. (For those covariance models that have specific simulation processes programmed.)

- `RMS` : internal representation of the modifying arguments `var`, `scale`, `Aniso`, `proj`

### Author(s)

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

### Examples

    RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
    ##                   RFoptions(seed=NA) to make them all random again

    ## in the following 'RPplus' appears as internal model
    x <- seq(0, 10, 1)
    z <- RFsimulate(RPspecific(RMexp() + RMnugget()), x)
    RFgetModelInfo(which="internal", level=0)

[Package RandomFields version 3.1.50 Index]