DESCRIPTION

Package: bang
Title: Bayesian Analysis, No Gibbs
Version: 1.0.4
Date: 2024-07-17
Authors@R: c(person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk",
  role = c("aut", "cre", "cph")), 
  person(c("Benjamin", "D."), "Hall", email = "benjamin.hall.16@ucl.ac.uk",
  role = c("aut", "cph")))
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
    <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).
Depends: R (>= 3.3.0)
Imports: bayesplot (>= 1.1.0),
    graphics,
    rust (>= 1.2.2),
    stats
RoxygenNote: 7.2.3
Suggests: ggplot2 (>= 2.2.1),
    knitr,
    MASS,
    rmarkdown,
    testthat
VignetteBuilder: knitr
URL: https://paulnorthrop.github.io/bang/, https://github.com/paulnorthrop/bang
BugReports: https://github.com/paulnorthrop/bang/issues
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
Config/testthat/edition: 3