prior_post_plot: Graphs prior and posterior probabilities

In ProbBayes: Probability and Bayesian Modeling

Description

Graphs prior and posterior probabilities from a discrete Bayesian model

Usage

  prior_post_plot(d, Color = "orange")

Arguments

d	data frame where the first column are the model values, and columns named Prior and Posterior
Color	fill color for the bars

Value

ggplot2 object containing the graphical display.

Author(s)

Jim Albert

Examples

d <- data.frame(p=c(.1, .3, .5, .7, .9),
                 Prior=rep(1/5, 5))
y <- 5
n <- 10
d$Likelihood <- dbinom(y, prob=d$p, size=n)
d <- bayesian_crank(d)
prior_post_plot(d, "red")

ProbBayes documentation built on March 13, 2020, 1:31 a.m.