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Lightweight accessor that returns the per-facet empirical-Bayes shrinkage table stored on a fit when facet_shrinkage != "none". Returns NULL (with a message) when no shrinkage has been applied so callers can probe without error.

Usage

shrinkage_report(fit)

Arguments

fit

An mfrm_fit object.

Value

A data.frame with one row per facet (and optionally "Person") or NULL when shrinkage has not been applied.

Examples

# \donttest{
toy <- load_mfrmr_data("example_core")
fit <- fit_mfrm(toy, "Person", c("Rater", "Criterion"), "Score",
                method = "JML", maxit = 30,
                facet_shrinkage = "empirical_bayes")
#> Warning: Optimization convergence review did not produce an inference-ready numerical solution (code = 1, status = iteration_limit). Optimizer reached the iteration limit before the terminal gradient became small enough for review-only acceptance. Inspect the model specification, data support, and starting values. Do not interpret estimates until the review is resolved.
shrinkage_report(fit)
#>       Facet NLevels NLevelsUsed       Tau2     MeanSE2 MeanShrinkage
#> 1     Rater       4           4 0.06403506 0.009500135     0.1291914
#> 2 Criterion       4           4 0.05259214 0.009500604     0.1530053
#>   EffectiveDF          Method PriorSource Note
#> 1    3.483234 empirical_bayes   empirical <NA>
#> 2    3.387979 empirical_bayes   empirical <NA>
# }