autoplot.posterior: Visualize the Posterior Distributions of Model Statistics

In tidyposterior: Bayesian Analysis to Compare Models using Resampling Statistics

Visualize the Posterior Distributions of Model Statistics

Description

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.

Usage

## S3 method for class 'posterior'
autoplot(object, ...)

## S3 method for class 'perf_mod'
autoplot(object, ...)

## S3 method for class '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

data(ex_objects)
autoplot(posterior_samples)

tidyposterior documentation built on Oct. 12, 2023, 1:07 a.m.