model_card() is the entry point for acting on a fit. It returns
everything explain() shows – equation, symbol dictionary, assumptions,
notation and formula bridges, per-coefficient interpretations, factor-coding
overview, variance components – and adds the act-on-it layer: extraction
calls (R code to pull out blocks of the fit), recommended plots (one-line
text recipes), and the marginal estimates (group_means() /
group_slopes() / group_contrasts()).
Use explain() when you only want to understand the model; use
model_card() when you also want a quick reference of what to extract,
what to plot, and how the groups compare.
The bundle is a plain list; print it at the console for a structured walkthrough, or knit it inside a Quarto / R Markdown document for a heading-and-table section per piece.
Arguments
- x
A
symbolized_model(output ofsymbolize()).- ...
Reserved for future use.
Value
A symbolizer_model_card (a list) with elements:
meta, equation, symbols, assumptions, notation_bridge (and its
deprecated alias bridge), formula_bridge, interpretation,
factor_coding, variance_components (NULL when the model has no random
effects), warnings, extraction_calls, recommended_plots,
marginal_means (NULL when the model has no factors), marginal_slopes
(NULL when no continuous-by-* interaction is present), and
marginal_contrasts (NULL when the model has no factor).
See also
explain() for the understand-only bundle.