Summarize a diagnostic-screening validation study

Summarizes output from evaluate_mfrm_diagnostic_screening() for reporting, appendix export, and draw-free visualization handoff. The summary keeps simulation operating characteristics separate from validation gates: fit, marginal, pairwise, and report-review signals are screening readouts rather than pass/fail evidence.

Usage

# S3 method for class 'mfrm_diagnostic_screening'
summary(object, digits = 3, ...)

Arguments

object

Output from evaluate_mfrm_diagnostic_screening().

digits

Number of digits used in numeric summaries.

...

Reserved for generic compatibility.

Value

An object of class summary.mfrm_diagnostic_screening with:

• overview: run-level design, replication, convergence, and report-review metadata

• reading_order: recommended order for reading the summary tables

• next_actions: action-oriented triage for interpreting and exporting the summary

• reporting_notes: report-facing boundaries and recommended wording safeguards

• figure_recipes: recommended figure/display recipes for the draw-free plot-data tables

• scenario_summary: aggregated scenario-by-design screening summaries

• performance_summary: operating-characteristic rates and runtime summaries

• report_signal_summary: optional mfrm_report() readiness/review signals

• scenario_contrast: misspecification-minus-well-specified contrasts

• plot_*: long-form draw-free plot tables for overview, report, contrast, and runtime views

• planning metadata, settings, ADEMP metadata, and interpretation notes

See also

evaluate_mfrm_diagnostic_screening(), plot.mfrm_diagnostic_screening, plot_data()

Examples

if (FALSE) { # \dontrun{
diag_eval <- evaluate_mfrm_diagnostic_screening(
  design = list(person = 10, rater = 2, criterion = 2, assignment = 2),
  reps = 1,
  maxit = 30,
  seed = 123
)
summary(diag_eval)
} # }