graphicalExtremes
0.3.5Statistical Methodology for Graphical Extreme Value Models
Overview
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.
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Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0812 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-1114 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
- WARNING2026-03-106 OK · 0 NOTE · 8 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 88%
- References docs
- 16%
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Dependencies
Code & Tests
People & History
8 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.3.5Latest
- 0.3.42025-06-13 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.3.32024-11-14 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.3.22024-04-18 · diff ↗
- 0.3.12024-02-22 · diff ↗
- 0.3.02023-11-13 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.2.02022-12-02 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.02019-11-08
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-08
- Total releases
- 8 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 1.9 MB / 2 files
- Download size
- 3.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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