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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.