https://github.com/cran/RandomFields
Tip revision: 6eca414de4c835af2032db4cae6c05e9cc684529 authored by Martin Schlather on 23 April 2016, 15:04:07 UTC
version 3.1.11
version 3.1.11
Tip revision: 6eca414
RM.Rd
\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{RMmodelsMultivariate} \tab multivariate covariance models and
multivariate trend 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 typically used to build non-stationary covariance models
and arbitrary trends
\cr
\link{RMmodelsAuxiliary} \tab
rather specialised 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.}
}
\author{Martin Schlather, \email{schlather@math.uni-mannheim.de}
\url{http://ms.math.uni-mannheim.de/de/publications/software}
}
\keyword{spatial}
\examples{
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()}
}