plot_hyper: Hyperparameter posterior densities

In bayesqm: Bayesian Q Methodology: Probabilistic Factor Analysis

Hyperparameter posterior densities

Description

One panel per scalar hyperparameter (default nu, sigma, tau) showing a two-tone kernel density: the full posterior in the light shade, the central credible interval re-shaded in the mid shade, and the posterior median marked by a short tick at the baseline. Coverage defaults to fit$brief$prob. When a parameter's support spans more than one order of magnitude (max / min > 20, all positive), the x-axis is automatically rendered on a log scale so the density shape is not crushed against the lower bound.

Usage

plot_hyper(fit, pars = c("nu", "sigma", "tau"), log = NULL, ...)

Arguments

fit	A bayesqm_fit.
pars	Character vector of hyperparameter names to show.
log	NULL (default) auto-detects per parameter; set to "x" to force log, or "" to force linear.
...	Additional arguments forwarded to plot().

Value

The input, invisibly.

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