mev: Multivariate Extreme Value Distributions

Exact simulation from max-stable processes and multivariate extreme value distributions for various parametric models. Threshold selection methods.

Version: 1.10
Imports: boot, evd, gmm, ismev, methods, nleqslv, numDeriv, Rcpp (≥ 0.11.6), rootSolve, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: cobs, knitr
Published: 2017-02-01
Author: Leo Belzile [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], Anthony C. Davison [ctb], Raphael Huser [aut]
Maintainer: Leo Belzile <leo.belzile at epfl.ch>
BugReports: https://github.com/lbelzile/mev/issues
License: GPL-3
URL: https://github.com/lbelzile/mev/
NeedsCompilation: yes
Materials: NEWS
In views: ExtremeValue
CRAN checks: mev results

Downloads:

Reference manual: mev.pdf
Vignettes: Exact unconditional sampling from max-stable random vectors
Package source: mev_1.10.tar.gz
Windows binaries: r-devel: mev_1.10.zip, r-release: mev_1.10.zip, r-oldrel: mev_1.10.zip
OS X Mavericks binaries: r-release: mev_1.10.tgz, r-oldrel: mev_1.10.tgz
Old sources: mev archive

Linking:

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