mev: Modelling of Extreme Values
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: |
1.14 |
Depends: |
R (≥ 2.10) |
Imports: |
alabama, evd, methods, nleqslv, nloptr (≥ 1.2.0), Rcpp (≥
0.12.16), stats |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
boot, cobs, knitr, MASS, mvPot (≥ 0.1.4), mvtnorm, gmm, revdbayes, ismev, tinytest, TruncatedNormal (≥ 1.1) |
Published: |
2022-04-25 |
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],
Raphael Huser [aut] |
Maintainer: |
Leo Belzile <belzilel at gmail.com> |
BugReports: |
https://github.com/lbelzile/mev/issues/ |
License: |
GPL-3 |
URL: |
https://lbelzile.github.io/mev/, https://github.com/lbelzile/mev/ |
NeedsCompilation: |
yes |
Citation: |
mev citation info |
Materials: |
NEWS |
In views: |
ExtremeValue |
CRAN checks: |
mev results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=mev
to link to this page.