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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>.
Getting started
Browse package contents
Package details |
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| Author | Leo Belzile [aut, cre] (<https://orcid.org/0000-0002-9135-014X>), 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@gmail.com> |
| License | GPL-3 |
| Version | 1.17 |
| URL | https://lbelzile.github.io/mev/ https://github.com/lbelzile/mev/ |
| Package repository | View on CRAN |
| Installation |
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