R Development Page
Contributed R Packages
Below is a list of all packages provided by project SpatialExtremes.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
Packages
| SpatialExtremes | Modelling Spatial Extremes | |||||||||
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Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models. More precisely, this package allows (conditional) simulations from various parametric max-stable models, analysis of the extremal spatial dependence, the fitting of such processes using composite likelihoods or least square (simple max-stable processes only), model checking and selection and prediction. Other approaches (although not completely in agreement with the extreme value theory) are available such as the use of (spatial) copula and Bayesian hierarchical models assuming the so-called conditional assumptions. The latter approaches is handled through an (efficient) Gibbs sampler. Some key references: Davison et al. (2012) | ||||||||||
| Version: 2.1-0 | Last change: 2024-04-30 11:59:04+02 | Rev.: 893 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | Stable Release: Get SpatialExtremes 2.1-0 from CRAN | ||||||||||
R install command:
install.packages("SpatialExtremes", repos="http://R-Forge.R-project.org") | ||||||||||
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Build status codes
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