mev: Multivariate Extreme Value Distributions

Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.

Version: 1.13.1
Depends: R (≥ 2.10)
Imports: alabama, boot, evd, methods, nleqslv, nloptr (≥ 1.2.0), Rcpp (≥ 0.12.16), stats, TruncatedNormal (≥ 1.1)
LinkingTo: Rcpp, RcppArmadillo
Suggests: cobs, knitr, mvPot (≥ 0.1.4), mvtnorm, gmm, revdbayes, ismev
Published: 2020-01-27
Author: Leo Belzile ORCID iD [aut, cre], Jennifer L. Wadsworth [aut], Paul J. Northrop [aut], Scott D. Grimshaw [aut], Jin Zhang [ctb], Michael A. Stephens [ctb], Art B. Owen [ctb], Raphael Huser [aut]
Maintainer: Leo Belzile <belzilel at>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
In views: ExtremeValue
CRAN checks: mev results


Reference manual: mev.pdf
Vignettes: Exact unconditional sampling from max-stable random vectors
Package source: mev_1.13.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mev_1.13.1.tgz, r-oldrel: mev_1.13.1.tgz
Old sources: mev archive

Reverse dependencies:

Reverse suggests: copula, lax


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