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evgmrf: Gaussian Markov Random Field Models for Extreme Values

Fitting extreme value distributions with parameters that vary according to Gaussian Markov random fields (GMRFs). For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GMRFs see Rue, H., & Held, L. (2005) <doi:10.1201/9780203492024>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.10), Matrix (≥ 1.6-0), methods, lattice, gridExtra, sparseinv
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, Matrix
Published: 2026-10-28
DOI: 10.32614/CRAN.package.evgmrf (may not be active yet)
Author: Ben Youngman ORCID iD [aut, cre], Ayu Shabrina ORCID iD [aut, ctb]
Maintainer: Ben Youngman <b.youngman at exeter.ac.uk>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: evgmrf results

Documentation:

Reference manual: evgmrf.html , evgmrf.pdf

Downloads:

Package source: evgmrf_0.1.0.tar.gz
Windows binaries: r-devel: evgmrf_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): evgmrf_0.1.0.tgz, r-oldrel (arm64): evgmrf_0.1.0.tgz, r-release (x86_64): evgmrf_0.1.0.tgz, r-oldrel (x86_64): evgmrf_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=evgmrf to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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