interaction_effect_table: Extract model-estimated facet interaction effects

In mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models

Extract model-estimated facet interaction effects

Description

interaction_effect_table() returns the fixed-effect interaction block estimated by fit_mfrm() when facet_interactions is supplied. These are model-estimated deviations from the additive main-effects MFRM, not the residual screening statistics returned by estimate_bias().

Usage

interaction_effect_table(fit)

Arguments

fit	An mfrm_fit object returned by fit_mfrm().

Details

The current release supports two-way interactions between non-person facets, for example facet_interactions = "Rater:Criterion". Each interaction matrix is identified by zero marginal sums across both participating facets, so the interaction estimates are separable from the two main effects. Positive values indicate higher-than-expected scores for the facet-level combination under the additive model; negative values indicate lower-than-expected scores.

Use this table for confirmatory model review after specifying the facet pair of substantive interest. For exploratory screening without adding parameters to the fitted model, use estimate_bias() or estimate_all_bias().

Value

A tibble with one row per interaction cell. Returns an empty tibble when the fit has no model-estimated facet interactions.

See Also

fit_mfrm(), estimate_bias(), compare_mfrm()

mfrmr documentation built on June 13, 2026, 1:07 a.m.