\name{RMmodels Overview} \alias{RM} \title{Overview over classes of \code{RMmodels}} \description{ Various classes of models \code{RMxxx} are implemented in RandomFields, that have their own man pages. Here, an overview over these man pages are given. } \section{Man pages}{ Beginners should start with \link{RMmodels}, then go for \link{RMmodelsAdvanced} if more information is needed. \tabular{ll}{ \link{RMmodels} \tab general introduction and a collection of simple models \cr \link{RMmodelsAdvanced} \tab includes more advanced stationary and isotropic models, variogram models, non-stationary models and trend models \cr \link{Bayesian} \tab hierarchical models \cr \link{RMmodelsMultivariate} \tab multivariate covariance models and multivariate trend models \cr \link{RMmodelsNonstationary} \tab non-stationary covariance models \cr \link{RMmodelsSpaceTime} \tab space-time covariance models \cr \link{Spherical models} \tab models based on the polar coordinate system, usually used in earth models \cr \link{Tail correlation functions} \tab models related to max-stable random fields \cr \link{trend modelling} \tab how to pass trend specifications \cr \link[=RFcalc]{Mathematical functions} \tab simple mathematical functions that are typically used to build non-stationary covariance models and arbitrary trends \cr \link{RMmodelsAuxiliary} \tab rather specialized models, most of them not having positive definiteness property, but used internally in certain simulation algorithms, for instance. \cr % \link{RMmodels} \tab % \cr } } \seealso{ \link{RC}, \link{RR}, \link{RF}, \link{R.} } \me \keyword{spatial} \examples{\dontshow{StartExample()} RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set ## RFoptions(seed=NA) to make them all random again RFgetModelNames(type="positive definite", domain="single variable", isotropy="isotropic", operator=!FALSE) ## RMmodel.Rd \dontshow{FinalizeExample()}}