| RFfunction {RandomFields} | R Documentation |
Evaluation operators (RF commands)
Description
Here, all the RF_name_ commands are listed.
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 |
|
|
Estimation and Inference
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
Author(s)
Martin Schlather, schlather@math.uni-mannheim.de, https://www.wim.uni-mannheim.de/schlather/
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 3.3.13
Index]