plot_loading_posterior: Loading forest with 50 and 95 percent credible intervals

In bayesqm: Bayesian Q Methodology: Probabilistic Factor Analysis

Loading forest with 50 and 95 percent credible intervals

Description

Horizontal dotchart of every participant's loading, one panel per factor, ranked by posterior mean. Each loading is drawn as a median point with nested 50 percent (thick) and 95 percent (thin) credible-interval whiskers. A faint grey vertical rule marks Brown's descriptive cut-off ⁠+/- 1.96 / sqrt(J)⁠. When highlight_flagged = TRUE, participants in fit$flagged[, k] are drawn as filled points in the accent colour.

Usage

plot_loading_posterior(fit, factors = NULL, highlight_flagged = TRUE, ...)

Arguments

fit	A bayesqm_fit.
factors	Optional subset of factors to show (integer or name).
highlight_flagged	Logical; fill flagged participants.
...	Additional arguments forwarded to plot().

Value

The input, invisibly.

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