Statistical Methodology for Graphical Extreme Value Models

Statistical methodology for sparse multivariate extreme value models. Methods are provided for exact simulation and statistical inference for multivariate Pareto distributions on graphical structures as described in the paper 'Graphical Models for Extremes' by Engelke and Hitz (2020) .


Reference manual

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install.packages("graphicalExtremes")

0.3.5 by Sebastian Engelke, 6 months ago


https://github.com/sebastian-engelke/graphicalExtremes


Report a bug at https://github.com/sebastian-engelke/graphicalExtremes/issues


Browse source code at https://github.com/cran/graphicalExtremes


Authors: Sebastian Engelke [aut, cre] , Adrien S. Hitz [aut] , Nicola Gnecco [aut] , Manuel Hentschel [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports igraph, mvtnorm, Rdpack, stats, utils, corpcor, osqp, glmnet, glassoFast, CVXR

Suggests testthat, knitr, rmarkdown, dplyr, ggplot2, bookdown, maps


Depended on by satdad.


See at CRAN