revdbayes
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
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. 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) doi:10.1214/09-AOAS292 and Holesovsky and Fusek (2020) doi:10.1007/s10687-020-00374-3. 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.
- Version1.5.5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/18/2024
Documentation
- VignetteIntroducing revdbayes: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
- VignetteFaster simulation using revdbayes
- VignettePosterior Predictive Extreme Value Inference using the revdbayes Package
- VignetteInference for the extremal index using threshold interexceedance times
- MaterialREADME
- MaterialNEWS
- In ViewsBayesian
- In ViewsDistributions
- In ViewsExtremeValue
Team
Paul J. Northrop
Scott D. Grimshaw
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- Imports4 packages
- Suggests5 packages
- Linking To2 packages
- Reverse Imports3 packages
- Reverse Suggests6 packages