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evd: Functions for Extreme Value Distributions

Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.

Version: 2.3-7.1
Depends: R (≥ 2.10)
Imports: stats, grDevices, graphics
Suggests: interp
Published: 2024-09-21
DOI: 10.32614/CRAN.package.evd
Author: Alec Stephenson. Function fbvpot by Chris Ferro.
Maintainer: Alec Stephenson <alec_stephenson at hotmail.com>
License: GPL-3
NeedsCompilation: yes
Citation: evd citation info
In views: Distributions, Environmetrics, ExtremeValue
CRAN checks: evd results

Documentation:

Reference manual: evd.pdf
Vignettes: Statistics Of Extremes: Chapter 9 (source, R code)

Downloads:

Package source: evd_2.3-7.1.tar.gz
Windows binaries: r-devel: evd_2.3-7.1.zip, r-release: evd_2.3-7.1.zip, r-oldrel: evd_2.3-7.1.zip
macOS binaries: r-release (arm64): evd_2.3-7.1.tgz, r-oldrel (arm64): evd_2.3-7.1.tgz, r-release (x86_64): evd_2.3-7.1.tgz, r-oldrel (x86_64): evd_2.3-7.1.tgz
Old sources: evd archive

Reverse dependencies:

Reverse depends: ddst, ensembleMOS, evt0, Renext, RobExtremes, truncdist
Reverse imports: cape, climwin, criticality, DEEVD, evtclass, ExtremalDep, extremeIndex, extrememix, ExtremeRisks, extremeStat, extremis, flood, GJRM, HydroPortailStats, IDF, INQC, intamap, lmboot, lookout, metafuse, PWMEnrich, RecordLinkage, ReturnCurves, ROlogit, rSHAPE, rtdists, RtsEva, SimCorMultRes, SpatialGEV, tsxtreme, weird
Reverse suggests: admix, climatol, distributional, distrMod, extraDistr, fitteR, foreSIGHT, lax, maxstablePCA, mev, modeest, PRSim, SCI, sensitivity, TesiproV, TLMoments

Linking:

Please use the canonical form https://CRAN.R-project.org/package=evd 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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