Package: revdbayes
Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Version: 1.3.2
Date: 2018-02-12
Authors@R: person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk",
  role = c("aut", "cre", "cph"))
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>.
Imports: bayesplot (>= 1.1.0), graphics, methods, Rcpp, rust (>=
        1.2.2), stats, utils, zoo
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.3.0),
RoxygenNote: 6.0.1
Suggests: evdbayes, ggplot2 (>= 2.2.1), knitr, microbenchmark,
        rmarkdown, testthat
VignetteBuilder: knitr
URL: http://github.com/paulnorthrop/revdbayes
BugReports: http://github.com/paulnorthrop/revdbayes/issues
LinkingTo: Rcpp (>= 0.12.10), RcppArmadillo
NeedsCompilation: yes
Packaged: 2018-02-12 19:44:22 UTC; paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2018-02-12 23:14:59 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 17:43:56 UTC; windows
Archs: i386, x64
