Package: SpatialExtremes
Version: 2.1-0
Date: 2022-04-19
Title: Modelling Spatial Extremes
Authors@R: c(person("Mathieu", "Ribatet", role = c("aut", "cre"),
	   email = "mathieu.ribatet@ec-nantes.fr"),
	   person("Richard", "Singleton", role = "ctb"),
	   person("R Core team", role = "ctb"))
Depends: R (>= 1.8.0)
Imports: maps, fields
Description: 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)
        <doi:10.1214/11-STS376>, Padoan et al. (2010)
        <doi:10.1198/jasa.2009.tm08577>, Dombry et al. (2013)
        <doi:10.1093/biomet/ass067>.
License: GPL (>= 2)
URL: http://spatialextremes.r-forge.r-project.org/
Repository: https://r-forge.r-universe.dev
Date/Publication: 2024-04-30 09:59:04 UTC
RemoteUrl: https://github.com/r-forge/spatialextremes
RemoteRef: HEAD
RemoteSha: a1c5f31a5cb189efa3df2e929eb0a7048613d6be
RemoteSubdir: pkg
NeedsCompilation: yes
Packaged: 2026-06-23 17:58:15 UTC; root
Author: Mathieu Ribatet [aut, cre],
  Richard Singleton [ctb],
  R Core team [ctb]
Maintainer: Mathieu Ribatet <mathieu.ribatet@ec-nantes.fr>