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.

# S3 method for posterior
autoplot(object, ...)
# S3 method for perf_mod
autoplot(object, ...)
# S3 method for perf_mod_workflow_set
autoplot(object, type = "intervals", prob = 0.9, size = NULL, ...)

## 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.

## Examples