Package: evdbayes 1.1-3

evdbayes: Bayesian Analysis in Extreme Value Theory

Provides functions for the Bayesian analysis of extreme value models, using Markov chain Monte Carlo methods. Allows the construction of both uninformative and informed prior distributions for common statistical models applied to extreme event data, including the generalized extreme value distribution.

Authors:Alec Stephenson [aut, cre], Mathieu Ribatet [aut]

evdbayes_1.1-3.tar.gz
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evdbayes_1.1-3.tgz(r-4.6-x86_64)evdbayes_1.1-3.tgz(r-4.6-arm64)evdbayes_1.1-3.tgz(r-4.5-x86_64)evdbayes_1.1-3.tgz(r-4.5-arm64)
evdbayes_1.1-3.tar.gz(r-4.7-arm64)evdbayes_1.1-3.tar.gz(r-4.7-x86_64)evdbayes_1.1-3.tar.gz(r-4.6-arm64)evdbayes_1.1-3.tar.gz(r-4.6-x86_64)
evdbayes_1.1-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
evdbayes/json (API)

# Install 'evdbayes' in R:
install.packages('evdbayes', repos = c('https://ste6an-hub.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.26 score 1 stars 18 scripts 321 downloads 1 mentions 26 exports 0 dependencies

Last updated from:b0b2783d9e. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK104
linux-devel-x86_64OK130
source / vignettesOK153
linux-release-arm64OK100
linux-release-x86_64OK99
macos-release-arm64OK91
macos-release-x86_64OK263
macos-oldrel-arm64OK77
macos-oldrel-x86_64OK215
windows-develOK71
windows-releaseOK68
windows-oldrelOK72
wasm-releaseOK92

Exports:ar.choicedpostdprior.loglognormdprior.normdprior.probdprior.quantgevlikgevlik2gibbsgpdlikgpdlik2ibetaigammamc.quantmposterioroslikoslik2posteriorpplikpplik2prior.loglognormprior.normprior.probprior.quantrl.predrl.pst

Dependencies: