\name{RFfunction} \alias{RF} \alias{RFmodel} \alias{RFmodels} \alias{RFfunction} \alias{RFfunctions} \title{Evaluation operators} \description{ Here, all the \command{RF_name_} commands are listed. } \section{Models that are treated internally as operators on \code{\link{RMmodels}}}{ The users \code{\link{RMmodel}} is supplemented internally by operators that are tacitely assumed, e.g. \command{\link{RPgauss}}. Further completions of the user's model determine what should be done with the model, e.g. calculation \command{\link{RFcov}}. The following list gives those \code{RFfunctions} that have an internal represenation as completion to the user's model. \tabular{ll}{ \command{\link{RFcov}} \tab assigns to a covariance model the covariance values at given locations \cr \command{\link{RFcovmatrix}} \tab assigns to a covariance model the cross covariance values at given locations \cr % \command{\link{RFget}} \tab not implemented yet\cr \command{\link{RFfctn}} \tab assigns to a covariance model the value of the function at given locations \cr \command{\link{RFdistr}} \tab generic function assigning to distribution family various characteristics of the distribution \cr \command{\link{RFpseudovariogram}} \tab assigns to a model the values of the pseudo variogram at given locations\cr \command{\link{RFsimulate}} \tab simulation of random fields \cr \command{\link{RFvariogram}} \tab assigns to a model the values of the (cross-)variogram at given locations\cr } } \section{Estimation and Inference}{ \tabular{ll}{ \command{\link{RFcrossvalidate}} \tab cross validation for Gaussian fields \cr \command{\link{RFempiricalvariogram}} \tab empirical variogram \cr \command{\link{RFfit}} \tab (maximum likelihood) fitting of the parameters \cr \command{\link{RFinterpolate}} \tab \code{'kriging' and 'imputing'} \cr % \command{\link{RFlikelihood}} \tab not coded yet % to do \cr \command{\link{RFratiotest}} \tab likelihood ratio test for Gaussian fields \cr } } \section{Graphics for Gaussian fields}{ \tabular{ll}{ \command{\link{RFgui}} \tab educational tool for\cr \tab * manual selection of a covariance model\cr \tab * manual fitting to the empirical variogram \cr \command{\link{RFfractaldim}} \tab determination of the fractal dimension \cr \command{\link{RFhurst}} \tab determination of the Hurst effect (long range dependence) \cr } } \section{Coordinate transformations}{ \tabular{ll}{ \command{\link{RFearth2cartesian}} \tab transformation of earth coordinates to cartesian coordinates \cr \command{\link{RFearth2dist}} \tab transformation of earth coordinates to Euclidean distances } } \section{Information from and to RandomFields}{ \tabular{ll}{ \command{\link{RFgetMethodNames}} \tab currently implemented list of simulation methods \cr \command{\link{RFgetModel}} \tab returns the model used in a \code{\link{RFfunction}}, with some more details on the implementation, including the default values of the arguments of the model \cr \command{\link{RFgetModelInfo}} \tab similar to \command{\link{RFgetModel}}, but with detailed information on the implementation \cr \command{\link{RFgetModelNames}} \tab lists the implemented models \cr \command{\link{RFoptions}} \tab options of package RandomFields } } \note{ Note not all the functions starting with \code{RF} possess a corresponding implementation as operator, e.g. not \command{\link{RFfit}} and \command{\link{RFinterpolate}}. } \seealso{ \link{RC}, \link{RM}, \link{RP}, \link{RR}, \code{\link[=RMmodelgenerator-class]{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 \dontshow{FinalizeExample()} } \author{Martin Schlather, \email{schlather@math.uni-mannheim.de} \url{http://ms.math.uni-mannheim.de/de/publications/software} } \keyword{spatial}