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bang  

Bayesian Analysis, No Gibbs
View on CRAN: Click here


Download and install bang package within the R console
Install from CRAN:
install.packages("bang")

Install from Github:
library("remotes")
install_github("cran/bang")

Install by package version:
library("remotes")
install_version("bang", "1.0.4")



Attach the package and use:
library("bang")
Maintained by
Paul J. Northrop
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-20
Latest Update: 2024-07-17
Description:
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 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) for details. At the moment three conjugate hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way analysis of variance (ANOVA).
How to cite:
Paul J. Northrop (2017). bang: Bayesian Analysis, No Gibbs. R package version 1.0.4, https://cran.r-project.org/web/packages/bang. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2017-11-20 19:01), 1.0.1 (2020-02-24 13:50), 1.0.2 (2023-09-02 23:40), 1.0.3 (2023-12-02 19:30)
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Complete documentation for bang
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