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CRAN: Package bang

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 Documentation: Downloads: Reverse dependencies: Linking:

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