triplot: Plot of prior, likelihood and posterior for a proportion

In LearnBayes: Functions for Learning Bayesian Inference

Description

For a proportion problem with a beta prior, plots the prior, likelihood and posterior on one graph.

Usage

triplot(prior,data,where="topright")

Arguments

prior	vector of parameters for beta prior
data	vector consisting of number of successes and number of failures
where	the location of the legend for the plot

Author(s)

Jim Albert

Examples

prior=c(3,10)  # proportion has a beta(3, 10) prior
data=c(10,6)   # observe 10 successes and 6 failures
triplot(prior,data)

Example output

LearnBayes documentation built on May 1, 2019, 7:03 p.m.