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. See the 'revdbayes' website for more information, documentation and examples.
Version: | 1.2.0 |
Depends: | R (≥ 3.3.1) |
Imports: | stats, graphics, methods, utils, rust (≥ 1.2.2), bayesplot (≥ 1.1.0), Rcpp |
LinkingTo: | Rcpp (≥ 0.12.10), RcppArmadillo |
Suggests: | knitr, rmarkdown, evdbayes, microbenchmark, ggplot2 (≥ 2.2.1), testthat |
Published: | 2017-07-14 |
Author: | Paul J. Northrop [aut, cre, cph] |
Maintainer: | Paul J. Northrop <p.northrop at ucl.ac.uk> |
BugReports: | http://github.com/paulnorthrop/revdbayes/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://github.com/paulnorthrop/revdbayes |
NeedsCompilation: | yes |
Materials: | README NEWS |
In views: | Bayesian, Distributions, ExtremeValue |
CRAN checks: | revdbayes results |
Reference manual: | revdbayes.pdf |
Vignettes: |
Posterior Predictive Extreme Value Inference using the revdbayes Package Faster simulation using revdbayes Introducing revdbayes: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis |
Package source: | revdbayes_1.2.0.tar.gz |
Windows binaries: | r-devel: revdbayes_1.2.0.zip, r-release: revdbayes_1.2.0.zip, r-oldrel: revdbayes_1.2.0.zip |
OS X El Capitan binaries: | r-release: revdbayes_1.2.0.tgz |
OS X Mavericks binaries: | r-oldrel: revdbayes_1.2.0.tgz |
Old sources: | revdbayes archive |
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