Package: revdbayes
Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Version: 1.3.9
Date: 2020-09-11
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 <https://cran.r-project.org/package=rust> is
    used to simulate a random sample from the required posterior distribution.
    The functionality of 'revdbayes' is similar to the 'evdbayes' package
    <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain
    Monte Carlo ('MCMC') methods for posterior simulation.  Also provided
    are functions for making inferences about the extremal index, using 
    the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292>.
    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), graphics, Rcpp, rust (>= 1.2.2), stats,
        utils
License: GPL (>= 2)
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.3.0),
RoxygenNote: 7.1.0
Suggests: evdbayes, 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
NeedsCompilation: yes
Packaged: 2020-09-11 10:09:14 UTC; paul
Author: Paul J. Northrop [aut, cre, cph],
  Scott D. Grimshaw [ctb]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2020-09-12 05:50:15 UTC
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-02-20 08:52:00 UTC; unix
Archs: revdbayes.so.dSYM
