Description Usage Arguments Value Methods Note Note References See Also Examples

View source: R/Crossvalidation.R

The function estimates arbitrary parameters of a random field specification with various methods. Currently, the models to be fitted can be

Gaussian random fields

linear models

The fitting of max-stable random fields and others has not been implemented yet.

1 2 3 4 |

`model,params` |
\argModel |

`x` |
\argX |

`y,z` |
\argYz |

`T` |
\argT |

`grid` |
\argGrid |

`data` |
\argData |

`lower` |
\argLower |

`upper` |
\argUpper |

`method` |
Single method to be used for estimating, either
one of the |

`users.guess` |
\argUsersguess |

`distances,dim` |
\argDistances |

`optim.control` |
\argOptimcontrol |

`transform` |
\argTransform |

`full` |
logical.
If |

`...` |
\argDots |

An object of the `class`

`"RFcrossvalidate"`

which is
a list with the following components, cf. `xvalid`

in the
package geoR :

`data` |
the original data. |

`predicted` |
the values predicted by cross-validation. |

`krige.var` |
the cross-validation prediction variance. |

`error` |
the differences |

`std.error` |
the errors divided by the square root of the prediction variances. |

`p` |
In contrast to geoR the p-value is returned, i.e. the probability that a difference with absolute value larger than the absolute value of the actual difference is observed. A method for If |

prints the summary

- summary
gives a summary

An important option is `cross_refit`

that determines
whether the model is refitted for each location left out.
Default is `FALSE`

. See also `RFoptions`

.

This function does not depend on the value of
`RFoptions`

`()$PracticalRange`

.
The function `RFcrossvalidate`

always uses the standard specification
of the covariance model as given in `RMmodel`

.

Ribeiro, P.J., Jr. and Diggle, P.J (2014) R package geoR.

Burnham, K. P. and Anderson, D. R. (2002)

*Model selection and Multi-Model Inference: A Practical Information-Theoretic Approach.*2nd edition. New York: Springer.

`RFratiotest`

`RFfit`

`RMmodel`

,
`RandomFields`

,
`weather`

.

1 2 3 4 5 6 7 | ```
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
## currently disabled!
``` |

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