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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.4 |
rolling linux/jammy R-4.5 | bang_1.0.4.tar.gz |
331.4 KiB |
1.0.4 |
rolling linux/noble R-4.5 | bang_1.0.4.tar.gz |
331.2 KiB |
1.0.4 |
rolling source/ R- | bang_1.0.4.tar.gz |
245.9 KiB |
1.0.4 |
latest linux/jammy R-4.5 | bang_1.0.4.tar.gz |
331.4 KiB |
1.0.4 |
latest linux/noble R-4.5 | bang_1.0.4.tar.gz |
331.2 KiB |
1.0.4 |
latest source/ R- | bang_1.0.4.tar.gz |
245.9 KiB |
1.0.4 |
2026-04-26 source/ R- | bang_1.0.4.tar.gz |
245.9 KiB |
1.0.4 |
2026-04-23 source/ R- | bang_1.0.4.tar.gz |
245.9 KiB |
1.0.4 |
2026-04-09 windows/windows R-4.5 | bang_1.0.4.zip |
336.0 KiB |
1.0.4 |
2025-04-20 source/ R- | bang_1.0.4.tar.gz |
245.9 KiB |