RMmodelsRMxxx are implemented in
RandomFields, that have their own man pages. Here an overview over
these man pages are given
| RMmodels |
| general introduction and a collection of simple models |
| RMmodelsAdvanced |
| includes more advanced stationary and isotropic models, variogram models, non-stationary models and trend models |
| Bayesian |
| hierarchical models |
| RMmodelsMultivariate |
| multivariate covariance models and multivariate trend models |
| RMmodelsNonstationary |
| non-stationary covariance models |
| RMmodelsMultivariate |
| multivariate covariance models and multivariate trend models |
| RMmodelsSpaceTime |
| space-time covariance models |
| Spherical models |
| models based on the polar coordinate system, usually used in earth models |
| Tail correlation functions |
| models related to max-stable random fields |
| trend modelling |
| how to pass trend specifications |
| Mathematical functions |
| simple mathematical functions that typically used to build non-stationary covariance models and arbitrary trends |
| RMmodelsAuxiliary |
| rather specialised models, most of them not having positive definiteness property, but used internally in certain simulation algorithms, for instance. |
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
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