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: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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