Sampling-diagnostic (Rhat) heatmap for Omega

Companion to plot_omega_correlation_heatmap() – shows Rhat for each Omega[i,j] entry, so a reader cannot look at an attractive correlation heatmap without also seeing whether those specific parameters actually converged. A uniformly high correlation heatmap alongside a uniformly poor Rhat heatmap here is the signature of a near-degenerate, weakly-identified correlation matrix, not a settled finding.

Usage

plot_omega_convergence_heatmap(corr_summary, class_cols, title_base = "")

Arguments

corr_summary

Tibble from summarize_fit_correlation_matrix() (with class_1, class_2, correlation_median, rhat columns), or NULL.

class_cols

Character vector of all class names, in the fit's canonical order (for consistent row/column ordering).

title_base

Character. Prefixed to the plot title.

Value

A ggplot object, or NULL if corr_summary is NULL/empty or has no rhat column (e.g. computed by an older summarize_fit_correlation_matrix() call).