Package: revdbayes Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis Version: 1.5.7 Date: 2026-03-24 Authors@R: c(person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk", role = c("aut", "cre", "cph")), person(c("Scott", "D."), "Grimshaw", role = c("ctb"))) Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package , which uses Markov Chain Monte Carlo ('MCMC') methods for posterior simulation. In addition, there are functions for making inferences about the extremal index, using the models for threshold inter-exceedance times of Suveges and Davison (2010) and Holesovsky and Fusek (2020) . Also provided are d,p,q,r functions for the Generalised Extreme Value ('GEV') and Generalised Pareto ('GP') distributions that deal appropriately with cases where the shape parameter is very close to zero. Imports: bayesplot (>= 1.1.0), exdex, graphics, Rcpp, rust (>= 1.2.2), stats, utils License: GPL (>= 2) LazyData: TRUE Encoding: UTF-8 Depends: R (>= 3.3.0), RoxygenNote: 7.3.3 Suggests: ggplot2 (>= 2.2.1), knitr, microbenchmark, rmarkdown, testthat VignetteBuilder: knitr URL: https://paulnorthrop.github.io/revdbayes/, https://github.com/paulnorthrop/revdbayes BugReports: https://github.com/paulnorthrop/revdbayes/issues LinkingTo: Rcpp (>= 0.12.10), RcppArmadillo Config/testthat/edition: 3 Config/pak/sysreqs: libicu-dev Repository: https://paulnorthrop.r-universe.dev Date/Publication: 2026-03-24 16:42:08 UTC RemoteUrl: https://github.com/paulnorthrop/revdbayes RemoteRef: HEAD RemoteSha: 5cd0153eb3d5399124ba1c850d96d706ba98e44c NeedsCompilation: yes Packaged: 2026-06-24 02:47:50 UTC; root Author: Paul J. Northrop [aut, cre, cph], Scott D. Grimshaw [ctb] Maintainer: Paul J. Northrop