ayotoasset / graphicalExtremes

Statistical methodology for graphical extreme value models

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

graphicalExtremes

lifecycle Travis build status codecov

The goal of graphicalExtremes is to provide an implementation of the statistical methodology paper Engelke and Hitz (2019, JRSSB) for sparse multivariate extreme value models. This includes exact simulation algorithms and statistical inference methods for multivariate Pareto distributions on graphical structures.

Installation

You can install the development version of graphicalExtremes from GitHub with:

# install.packages("devtools")
devtools::install_github("sebastian-engelke/graphicalExtremes")

About

Statistical methodology for graphical extreme value models


Languages

Language:R 99.6%Language:TeX 0.4%