graphicalExtremes
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) <doi:10.1111/rssb.12355>.
- Version0.3.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/14/2024
Documentation
Team
Sebastian Engelke
Manuel Hentschel
Show author detailsRolesAuthorAdrien S. Hitz
Show author detailsRolesAuthorNicola Gnecco
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 504 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,077 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 20, 2025 with 75 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports8 packages
- Suggests8 packages
- Reverse Depends1 package