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: | 2.2 |
Depends: | R (≥ 2.10.0), Lmoments, distillery (≥ 1.0-4) |
Imports: | graphics, stats, methods |
Suggests: | fields |
Published: | 2024-11-29 |
DOI: | 10.32614/CRAN.package.extRemes |
Author: | Eric Gilleland [aut, cre] |
Maintainer: | Eric Gilleland <eric.gilleland at colostate.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | extRemes citation info |
In views: | Environmetrics, ExtremeValue |
CRAN checks: | extRemes results |
Reference manual: | extRemes.pdf |
Package source: | extRemes_2.2.tar.gz |
Windows binaries: | r-devel: extRemes_2.2.zip, r-release: extRemes_2.2.zip, r-oldrel: extRemes_2.2.zip |
macOS binaries: | r-release (arm64): extRemes_2.2.tgz, r-oldrel (arm64): extRemes_2.2.tgz, r-release (x86_64): extRemes_2.2.tgz, r-oldrel (x86_64): extRemes_2.2.tgz |
Old sources: | extRemes archive |
Reverse depends: | in2extRemes |
Reverse imports: | climextRemes, extremeStat, scde |
Reverse suggests: | lax |
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