extRemes
Extreme Value Analysis
General functions for performing extreme value analysis. In particular, allows for inclusion of covariates into the parameters of the extreme-value distributions, as well as estimation through MLE, L-moments, generalized (penalized) MLE (GMLE), as well as Bayes. Inference methods include parametric normal approximation, profile-likelihood, Bayes, and bootstrapping. Some bivariate functionality and dependence checking (e.g., auto-tail dependence function plot, extremal index estimation) is also included. For a tutorial, see Gilleland and Katz (2016) doi:10.18637/jss.v072.i08 and for bootstrapping, please see Gilleland (2020) doi:10.1175/JTECH-D-20-0070.1.
- Version2.1-4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- extRemes citation info
- Last release02/02/2024
Documentation
Team
Eric Gilleland
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 3,941 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 98 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 40,977 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Dec 28, 2024 with 828 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.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages
- Suggests1 package
- Reverse Depends1 package
- Reverse Imports2 packages
- Reverse Suggests1 package