paulnorthrop/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).

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version1.0.1.9000
URL https://paulnorthrop.github.io/bang/ http://github.com/paulnorthrop/bang
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("paulnorthrop/bang")
paulnorthrop/bang documentation built on April 17, 2022, 2:12 a.m.