ExtremalDep: Extremal Dependence Models

A set of procedures for parametric and non-parametric modelling of the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. It adapts the methodologies of Beranger and Padoan (2015) <arxiv:1508.05561>, Marcon et al. (2016) <doi:10.1214/16-EJS1162>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Beranger et al. (2021) <doi:10.1007/s10687-019-00364-0>. This package also allows for the modelling of spatial extremes using flexible max-stable processes. It provides simulation algorithms and fitting procedures relying on the Stephenson-Tawn likelihood as per Beranger at al. (2021) <doi:10.1007/s10687-020-00376-1>.

Getting started

Package details

AuthorBoris Beranger [aut], Simone Padoan [cre, aut], Giulia Marcon [aut], Steven G. Johnson [ctb] (Author of included cubature fragments), Rudolf Schuerer [ctb] (Author of included cubature fragments), Brian Gough [ctb] (Author of included cubature fragments), Alec G. Stephenson [ctb], Anne Sabourin [ctb] (Author of included BMAmevt fragments)
MaintainerSimone Padoan <simone.padoan@unibocconi.it>
LicenseGPL (>= 2)
URL https://faculty.unibocconi.it/simonepadoan/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the ExtremalDep package in your browser

Any scripts or data that you put into this service are public.

ExtremalDep documentation built on Sept. 26, 2023, 1:06 a.m.