Package: evdbayes 1.1-3

Alec Stephenson

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
evdbayes_1.1-3.tar.gz(r-4.5-noble)evdbayes_1.1-3.tar.gz(r-4.4-noble)
evdbayes_1.1-3.tgz(r-4.4-emscripten)evdbayes_1.1-3.tgz(r-4.3-emscripten)
evdbayes.pdf |evdbayes.html
evdbayes/json (API)

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

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

1.15 score 14 scripts 322 downloads 1 mentions 26 exports 0 dependencies

Last updated 2 years agofrom:b0b2783d9e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linux-x86_64OKDec 16 2024

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

Dependencies: