gibbs_betabin: Gibbs sampling of the beta-binomial distribution

In ProbBayes: Probability and Bayesian Modeling

Description

Implements Gibbs sampling of the beta-binomial distribution

Usage

  gibbs_betabin(n, a, b, p = 0.5, iter = 1000)

Arguments

n	binomial sample size
a	first beta shape parameter
b	second beta shape parameter
p	starting value of proportion in algorithm
iter	number of iterations

Value

matrix of simulated draws from the algorithm

Author(s)

Jim Albert

Examples

sp <- gibbs_betabin(20, 5, 5, 100)

Example output

Loading required package: LearnBayes
Loading required package: ggplot2
Loading required package: gridExtra
Loading required package: shiny
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ProbBayes documentation built on March 13, 2020, 1:31 a.m.