R: Class "RMmodelFit"

RMmodelFit-class {RandomFields} | R Documentation

## Class "RMmodelFit"

### Description

Extension of Class `RMmodel` which additionally contains the likelihood of the data w.r.t. the covariance model represented by the "RMmodel" part, the estimated trend of the data if it is a constant trend, and the residuals of the data w.r.t. the model. Objects of this class only occur as slots in the output of "RFfit".

### Creating Objects

Objects are only ment to be created by the function `RFfit`

### Slots

`AIC`:

  the AIC value for the ml estimation

`AICc`:

  the corrected AIC value for the ml estimation

`BIC`:

  the BIC value for the ml estimation

`call`:

  see `RMmodel`.

`likelihood`:

  numeric; the likelihood of the data w.r.t. the covariance model

`name`:

  see `RMmodel`.

`par.model`:

  see `RMmodel`.

`par.general`:

  see `RMmodel`.

`param`:

  vector of estimated parameters

`residuals`:

  array or of class `RFsp`; residuals of the data w.r.t. the trend model

`submodels`:

  see `RMmodel`.

`trend`:

  numeric; the estimated mean of the data (if a constant mean was specified in the model)

`variab`:

  vector of estimated variables. Variables are used in the internal representation and can be a subset of the parameters.

### Extends

Class `"RMmodel"`, directly.

### Methods

[

  `signature(x = "RMmodelFit")`: enables accessing the slots via the `"["`-operator, e.g. `x["likelihood"]`

[<-

  `signature(x = "RMmodelFit")`: enables replacing the slots via the `"["`-operator

show

  `signature(x = "RFfit")`: returns the structure of `x`

print

  `signature(x = "RFfit")`: identical with `show`-method

anova

  performs a likelihood ratio test base on a chisq approximation

summary

  gives a summary

### Author(s)

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

### See Also

`RMmodel` `RFfit`

### Examples

    # see RFfit

[Package RandomFields version 3.1.50 Index]