summary.posterior_diff: Summarize Posterior Distributions of Model Differences

Description

Credible intervals are created for the differences. Also, region of practical equivalence (ROPE) statistics are computed when the effective size of a difference is given.

Usage

# S3 method for posterior_diff
summary(object, prob = 0.9, size = 0, ...)

Value

A data frame with interval and ROPE statistics for each comparison.

Arguments

object: An object produced by contrast_models().
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.
...: Not currently used

Details

The ROPE estimates included in the results are the columns pract_neg, pract_equiv, and pract_pos. pract_neg integrates the portion of the posterior below -size (and pract_pos is the upper integral starting at size). The interpretation depends on whether the metric being analyzed is better when larger or smaller. pract_equiv integrates between [-size, size]. If this is close to one, the two models are unlikely to be practically different relative to size.

Examples

Run this code

data("ex_objects")

summary(contrast_samples)
summary(contrast_samples, size = 0.025)

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