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
Author:	Ben Youngman [aut, cre], Ayu Shabrina [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: evgmrf_0.1.0.zip, 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:

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