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. At the moment three conjugate hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way analysis of variance (ANOVA).
| Version: | 1.0.0 |
| Depends: | R (≥ 3.3.1) |
| Imports: | bayesplot (≥ 1.1.0), graphics, methods, rust (≥ 1.2.2), stats |
| Suggests: | ggplot2 (≥ 2.2.1), knitr, rmarkdown, testthat |
| Published: | 2017-11-20 |
| Author: | Paul J. Northrop [aut, cre, cph], Benjamin D. Hall [aut, cph] |
| Maintainer: | Paul J. Northrop <p.northrop at ucl.ac.uk> |
| BugReports: | http://github.com/paulnorthrop/bang/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://github.com/paulnorthrop/bang |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | bang results |
| Reference manual: | bang.pdf |
| Vignettes: |
Hierarchical 1-way Analysis of Variance Conjugate Hierarchical Models Posterior Predictive Checking Introducing bang: Bayesian Analysis, No Gibbs |
| Package source: | bang_1.0.0.tar.gz |
| Windows binaries: | r-devel: bang_1.0.0.zip, r-release: bang_1.0.0.zip, r-oldrel: bang_1.0.0.zip |
| OS X El Capitan binaries: | r-release: bang_1.0.0.tgz |
| OS X Mavericks binaries: | r-oldrel: bang_1.0.0.tgz |
| Reverse suggests: | rust |
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