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:	1.0.3
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:	2023-12-02
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

Documentation:

Reference manual:	bang.pdf
Vignettes:	Introducing bang: Bayesian Analysis, No Gibbs Conjugate Hierarchical Models Hierarchical 1-way Analysis of Variance Posterior Predictive Checking

Downloads:

Package source:	bang_1.0.3.tar.gz
Windows binaries:	r-devel: bang_1.0.3.zip, r-release: bang_1.0.3.zip, r-oldrel: bang_1.0.3.zip
macOS binaries:	r-release (arm64): bang_1.0.3.tgz, r-oldrel (arm64): bang_1.0.3.tgz, r-release (x86_64): bang_1.0.3.tgz, r-oldrel (x86_64): bang_1.0.3.tgz
Old sources:	bang archive

Reverse dependencies:

Reverse suggests:

rust

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bang to link to this page.