The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
DOI: | 10.32614/CRAN.package.extRemes |
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 |
Reference manual: | extRemes.pdf |
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 depends: | in2extRemes |
Reverse imports: | climextRemes, extremeStat, scde |
Reverse suggests: | lax |
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.