# Visualize the Posterior Distributions of Model Statistics

Source:`R/posteriors.R`

`autoplot.posterior.Rd`

For objects of classes `posterior`

and `perf_mod`

, `autoplot()`

produces a
simple plot of posterior distributions. For workflow set objects, there are
several types of plots that can be produced.

## Arguments

- object
An object produced by

`perf_mod()`

,`tidy.perf_mod()`

, or a workflow set with computed results.- ...
Options passed to

`geom_line(stat = "density", ...)`

.- type
A value of one of:

`"intervals"`

(for model rank versus posterior probability using interval estimation),`"posteriors"`

(density plots for each model), or`"ROPE"`

(for practical equivalence probabilities versus workflow rank).- prob
A number p (0 < p < 1) indicating the desired probability mass to include in the intervals.

- size
The size of an effective difference in the units of the chosen metric. For example, a 5 percent increase in accuracy (

`size = 0.05`

) between two models might be considered a "real" difference.

## Value

A `ggplot2::ggplot()`

object.