Summarize VCMoE fit diagnostics

Returns a compact diagnostic table for reviewing whether a fitted VCMoE model is reliable enough to interpret.

Usage

vcmoe_diagnostics(object)

Arguments

object

A vcmoe object.

Value

A data frame with one row per coefficient grid point.

Details

The table includes convergence status, iterations, local log-likelihood, local-weighted posterior entropy, label ambiguity flags, alignment margin, effective local sample size, local-weighted component posterior proportions, and Binomial expert optimizer diagnostics when available.

Posterior entropy and component proportions use the same local kernel weights as the fitted grid point when the fit retains training data. If the fit was created with control$keep_data = FALSE, component proportions fall back to unweighted posterior means and effective local sample size is NA.