bang1.0.4 package

Bayesian Analysis, No Gibbs

bang-package

bang: Bayesian Analysis, No Gibbs

hanova1

Posterior sampling for a 1-way hierarchical ANOVA

hef

Hierarchical Exponential Family Model

plot.hef

Plot diagnostics for a hef object

pp_check.hef

Posterior predictive checks for a hef object

print.hef

Print method for objects of class "hef"

print.summary.hef

Print method for objects of class "summary.hef"

set_user_prior

Set a user-defined prior

sim_pred_beta_binom

Simulate from a beta-binomial posterior predictive distribution

sim_pred_gamma_pois

Simulate from a gamma-Poisson posterior predictive distribution

sim_pred_hanova1

Simulate from a one-way hierarchical ANOVA posterior predictive distri...

summary.hef

Summarizing hef objects

Download source packageRead PDF manual

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).

  • Maintainer: Paul J. Northrop
  • License: GPL (>= 2)
  • Last published: 2024-07-17

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