bang: Bayesian Analysis, No Gibbs
Provides functions for the Bayesian analysis of some simple commonly-used models, without using Markov Chain Monte Carlo (MCMC) methods such as Gibbs sampling. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution, using the generalized ratio-of-uniforms method. See Wakefield, Gelfand and Smith (1991) <doi:10.1007/BF01889987> for details. At the moment three conjugate hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way analysis of variance (ANOVA).
| Version: | 1.0.4 |
| Depends: | R (≥ 3.3.0) |
| Imports: | bayesplot (≥ 1.1.0), graphics,rust (≥ 1.2.2), stats |
| Suggests: | ggplot2 (≥ 2.2.1),knitr,MASS,rmarkdown,testthat |
| Published: | 2024-07-17 |
| DOI: | 10.32614/CRAN.package.bang |
| Author: | Paul J. Northrop [aut, cre, cph], Benjamin D. Hall [aut, cph] |
| Maintainer: | Paul J. Northrop <p.northrop at ucl.ac.uk> |
| BugReports: | https://github.com/paulnorthrop/bang/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://paulnorthrop.github.io/bang/,https://github.com/paulnorthrop/bang |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | Bayesian |
| CRAN checks: | bang results |
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