| mfrmr_reporting_and_apa | R Documentation |
Package-native guide to moving from fitted model objects to
manuscript-draft text, tables, notes, and revision checklists in mfrmr.
This guide currently applies fully to diagnostics-based RSM / PCM
workflows. First-release GPCM fits now support reporting_checklist(),
precision_review_report(), direct curve/graph and residual table helpers,
and caveated APA/QC/export bundles. Use gpcm_capability_matrix() when you
need the formal boundary for the current GPCM reporting path.
In particular, bounded GPCM build_apa_outputs(),
build_visual_summaries(), run_qc_pipeline(),
build_mfrm_manifest(), build_mfrm_replay_script(), and
export_mfrm_bundle() outputs include explicit gpcm_boundary caveats.
Full FACETS-style score-side contract review remains blocked. Scorefile
export, design forecasting, diagnostic/signal-detection screening, and
linking synthesis use their own caveated GPCM routes and should not be
treated as automatic operational-scoring evidence.
"Which parts of this run are draft-complete, and with what caveats?"
Use reporting_checklist().
"How should I phrase the model, fit, and precision sections?"
For RSM / PCM, use build_apa_outputs().
"Which tables should I hand off to a manuscript or appendix?"
Use build_summary_table_bundle(), export_summary_appendix(),
apa_table(), and
facet_statistics_report().
"How do I explain model-based vs exploratory precision?"
Use precision_review_report() and summary(diagnose_mfrm(...)).
"Which caveats need to appear in the write-up?"
Use reporting_checklist() first, then build_apa_outputs().
"How should I start figure captions or visual-results wording?"
Use visual_reporting_template() for conservative caption and results
sentence starters, then verify availability with
reporting_checklist()$visual_scope.
Fit with fit_mfrm().
Build diagnostics with diagnose_mfrm().
Review precision strength with precision_review_report() when
inferential language matters.
Run reporting_checklist() to identify missing sections, caveats, and
next actions. Use the "Visual Displays" rows as the figure-routing
layer for the current run.
When strict marginal rows are available, follow up with
plot_marginal_fit() and plot_marginal_pairwise() before finalizing
the narrative around local misfit.
Create manuscript-draft prose and metadata with build_apa_outputs().
For bounded GPCM, treat the APA/QC/export stack as caveated
sensitivity-reporting output and keep its gpcm_boundary visible.
Convert summary outputs to reusable table bundles with
build_summary_table_bundle(), review the bundle with summary() /
plot(), then convert specific components to handoff tables with
apa_table() or export them directly with export_summary_appendix().
reporting_checklist()Turns current analysis objects into a
prioritized revision guide with DraftReady, Priority, and
NextAction. DraftReady means "ready to draft with the documented
caveats"; ReadyForAPA is retained as a backward-compatible alias, and
neither field means "formal inference is automatically justified". The
"Visual Displays" rows also mirror the public plot family, so the
checklist doubles as a figure-routing surface.
build_apa_outputs()Builds shared-contract prose, table notes, captions, and a section map from the current fit and diagnostics.
build_summary_table_bundle()Turns supported summary() outputs
into named data.frame tables plus an index for manuscript or appendix
handoff, and now also supports bundle-level summary() / plot() for
role coverage and numeric QC.
export_summary_appendix()Writes those validated summary-table bundles to CSV and optional HTML appendix artifacts without requiring a full fit-based export bundle.
apa_table()Produces reproducible base-R tables with APA-oriented labels, notes, and captions.
precision_review_report()Summarizes whether precision claims are model-based, hybrid, or exploratory.
facet_statistics_report()Provides facet-level summaries that often feed result tables and appendix material.
build_visual_summaries()Prepares publication-oriented figure data that can be cited from the report text.
visual_reporting_template()Provides conservative figure placement, caption-starter, results-wording, and overclaim-avoidance guidance for public visual helpers.
Treat reporting_checklist() as the gap finder and
build_apa_outputs() as the writing engine.
Use the checklist's "Visual Displays" rows to decide whether the next
follow-up should be plot_qc_dashboard(), plot_marginal_fit(),
plot_residual_pca(), plot_bias_interaction(), or another public plot.
Use visual_reporting_template() to draft visual captions and
results-sentence starters, but do not paste the skeletons without checking
the actual fit, diagnostics, and study context.
Phrase formal inferential claims only when the precision tier is model-based.
Keep bias and differential-functioning outputs in screening language unless the current precision layer and linking evidence justify stronger claims.
Treat DraftReady (and the legacy alias ReadyForAPA) as a
drafting-readiness flag, not as a substitute for methodological review.
Rebuild APA outputs after major model changes instead of editing old text by hand.
For bounded GPCM, use APA/QC/export helpers only as caveated
sensitivity-reporting surfaces and keep full FACETS-style score-side
review outside this route.
Manuscript-first route:
fit_mfrm() -> diagnose_mfrm() -> reporting_checklist() ->
build_apa_outputs() -> build_summary_table_bundle() -> summary() /
plot() -> apa_table(), export_summary_appendix(), or
export_mfrm_bundle()(include = c("summary_tables", "html")).
For RSM / PCM final reports, prefer method = "MML" and
diagnostic_mode = "both" in the diagnostics step.
For bounded GPCM, use the same fit-based reporting/export family only
as caveated sensitivity-reporting output and inspect its gpcm_boundary
rows before writing claims.
Appendix-first route:
facet_statistics_report() -> apa_table() ->
build_visual_summaries() -> build_apa_outputs().
Precision-sensitive route:
diagnose_mfrm() -> precision_review_report() ->
reporting_checklist() -> build_apa_outputs().
bounded GPCM route:
diagnose_mfrm() -> precision_review_report() ->
reporting_checklist() -> direct residual/category/information helpers ->
caveated build_apa_outputs(), build_visual_summaries(),
run_qc_pipeline(), or export_mfrm_bundle() as needed.
For report/table selection, see mfrmr_reports_and_tables.
For end-to-end analysis routes, see mfrmr_workflow_methods.
For visual follow-up, see mfrmr_visual_diagnostics.
For the bounded GPCM support statement, see gpcm_capability_matrix.
For a longer walkthrough, see
vignette("mfrmr-reporting-and-apa", package = "mfrmr").
toy <- load_mfrmr_data("example_core")
fit <- fit_mfrm(
toy,
person = "Person",
facets = c("Rater", "Criterion"),
score = "Score",
method = "MML",
quad_points = 7,
maxit = 30
)
diag <- diagnose_mfrm(fit, residual_pca = "none", diagnostic_mode = "both")
checklist <- reporting_checklist(fit, diagnostics = diag)
visual_reporting_template("manuscript")[, c("FigureFamily", "CaptionSkeleton")]
head(checklist$checklist[, c("Section", "Item", "DraftReady", "NextAction")])
subset(
checklist$checklist,
Section == "Visual Displays",
c("Item", "Available", "NextAction")
)
apa <- build_apa_outputs(fit, diagnostics = diag)
apa$section_map[, c("SectionId", "Available")]
tbl <- apa_table(fit, which = "summary")
tbl$caption
bundle <- build_summary_table_bundle(checklist)
bundle$table_index
apa_from_bundle <- apa_table(bundle, which = "section_summary")
apa_from_bundle$caption
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