decomp: Plot the prior, likelihood, and posterior on the same plot.
In Bolstad: Functions for Elementary Bayesian Inference

Description Usage Arguments Note Author(s) Examples

This function takes any object of class Bolstad and plots the prior, likelihood and posterior on the same plot. The aim is to show the influence of the prior, and the likelihood on the posterior.

1	decomp(x, ...)

`x`	an object of class `Bolstad`.
`...`	any other arguments to be passed to the `plot` function.

Note that xlab, ylab, main, axes, xlim, ylim and type are all used in the function so specifying them is unlikely to have any effect.

James Curran

# an example with a binomial sampling situation
results = binobp(4, 12, 3, 3, plot = FALSE)
decomp(results)

# an example with normal data
y = c(2.99,5.56,2.83,3.47)
results = normnp(y, 3, 2, 1, plot = FALSE)
decomp(results)