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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>.

Version: 2.1-4
Depends: R (≥ 2.10.0), Lmoments, distillery (≥ 1.0-4)
Imports: graphics, stats, methods
Suggests: fields
Published: 2024-02-02
Author: Eric Gilleland
Maintainer: Eric Gilleland <ericg at ucar.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://staff.ral.ucar.edu/ericg/extRemes/
NeedsCompilation: yes
Citation: extRemes citation info
In views: Environmetrics, ExtremeValue
CRAN checks: extRemes results

Documentation:

Reference manual: extRemes.pdf

Downloads:

Package source: extRemes_2.1-4.tar.gz
Windows binaries: r-devel: extRemes_2.1-4.zip, r-release: extRemes_2.1-4.zip, r-oldrel: extRemes_2.1-4.zip
macOS binaries: r-release (arm64): extRemes_2.1-4.tgz, r-oldrel (arm64): extRemes_2.1-4.tgz, r-release (x86_64): extRemes_2.1-4.tgz, r-oldrel (x86_64): extRemes_2.1-4.tgz
Old sources: extRemes archive

Reverse dependencies:

Reverse depends: in2extRemes
Reverse imports: climextRemes, extremeStat, scde
Reverse suggests: lax

Linking:

Please use the canonical form https://CRAN.R-project.org/package=extRemes to link to this page.

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.
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