SpatialExtremes: Modelling Spatial Extremes
Version 2.0-5

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) , Padoan et al. (2010) , Dombry et al. (2013) .

Package details

AuthorMathieu Ribatet [aut, cre], Richard Singleton [ctb], R Core team [ctb]
Date of publication2017-09-15 11:16:54
MaintainerMathieu Ribatet <mathieu.ribatet@umontpellier.fr>
LicenseGPL (>= 2)
Version2.0-5
URL http://spatialextremes.r-forge.r-project.org/
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("SpatialExtremes", repos="http://R-Forge.R-project.org")

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SpatialExtremes documentation built on Sept. 15, 2017, 3:02 p.m.