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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) <doi:10.1111/rssb.12355>.
Version: | 0.3.2 |
Depends: | R (≥ 3.6.0) |
Imports: | igraph (≥ 1.2.4.1), mvtnorm (≥ 1.0.10), Rdpack, stats (≥ 3.6.0), utils, corpcor, osqp, glmnet, glassoFast, edmcr, CVXR |
Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown, dplyr, ggplot2, bookdown, maps |
Published: | 2024-04-18 |
DOI: | 10.32614/CRAN.package.graphicalExtremes |
Author: | Sebastian Engelke [aut, cre], Adrien S. Hitz [aut], Nicola Gnecco [aut], Manuel Hentschel [aut] |
Maintainer: | Sebastian Engelke <sebastian.engelke at unige.ch> |
BugReports: | https://github.com/sebastian-engelke/graphicalExtremes/issues |
License: | GPL-3 |
URL: | https://github.com/sebastian-engelke/graphicalExtremes |
NeedsCompilation: | no |
In views: | ExtremeValue |
CRAN checks: | graphicalExtremes results |
Reference manual: | graphicalExtremes.pdf |
Vignettes: |
Introduction and application to Danube data Application to flight data |
Package source: | graphicalExtremes_0.3.2.tar.gz |
Windows binaries: | r-devel: graphicalExtremes_0.3.2.zip, r-release: graphicalExtremes_0.3.2.zip, r-oldrel: graphicalExtremes_0.3.2.zip |
macOS binaries: | r-release (arm64): graphicalExtremes_0.3.2.tgz, r-oldrel (arm64): graphicalExtremes_0.3.2.tgz, r-release (x86_64): graphicalExtremes_0.3.2.tgz, r-oldrel (x86_64): graphicalExtremes_0.3.2.tgz |
Old sources: | graphicalExtremes archive |
Reverse depends: | satdad |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.