plot_dist_cons: Distinguishing/consensus divergence forest

In bayesqm: Bayesian Q Methodology: Probabilistic Factor Analysis

Distinguishing/consensus divergence forest

Description

Horizontal dot-and-whisker plot of the posterior viewpoint divergence D_j for every statement: posterior median with a 95% credible-interval whisker, statements ordered by the distinguishing probability P(D_j > delta | Y). A dashed rule marks the substantive separation delta and each point is shaded by P(D_j > delta | Y). By default the divergence summary stored on the fit is used (computed at the fit's delta); pass delta to recompute at a different separation without refitting.

Usage

plot_dist_cons(fit, delta = NULL, ...)

Arguments

fit	A bayesqm_fit.
delta	Optional separation override. If NULL (default) the fit's stored summary (fit$qdc, at fit$brief$delta) is used; that default is the Bayesian reliability-adjusted critical difference (critical_delta()). Pass a numeric value to recompute the divergence summary at a different separation.
...	Additional arguments forwarded to plot().

Value

The input, invisibly.

bayesqm documentation built on June 18, 2026, 1:07 a.m.