View source: R/help_visual_diagnostics.R
| mfrmr_interval_guide | R Documentation |
Return a compact map of the public mfrmr routes that can expose
confidence intervals or interval-like uncertainty displays. Use this when
you need to know which helper accepts show_ci or ci_level, which columns
to look for in draw = FALSE output, and how strongly the resulting
interval should be interpreted.
mfrmr_interval_guide(
scope = c("all", "visual", "table", "reporting", "fit", "bias", "linking", "gpcm",
"equivalence", "hierarchical", "shrinkage")
)
scope |
Which rows to return: |
The guide is deliberately conservative. It is a namespace and interpretation
map, not a fitted result and not proof that a given interval is available
for a particular run. For run-specific availability, call the listed helper
with draw = FALSE or inspect the relevant result table.
Most rows use ci_level = 0.95 by default. Some intervals are model-based
Wald intervals, some are delta-method intervals, some are profile or
profile-like intervals when available, and some are plotting overlays around
already-estimated quantities. The Basis and InterpretationBoundary
columns are the important guardrails.
A data.frame with columns:
Route
Scope
PrimaryHelper
DisplayRoute
DefaultLevel
IntervalColumns
Basis
UseFor
InterpretationBoundary
GPCMStatus
Notes
mfrmr_visual_diagnostics, visual_reporting_template(),
plot_fair_average(), plot_bias_interaction(),
plot_displacement(), plot_wright_unified(),
plot_rater_severity_profile(), plot_apa_figure_one(),
fit_measures_table()
mfrmr_interval_guide()
mfrmr_interval_guide("visual")[, c("Route", "DisplayRoute", "Basis")]
mfrmr_interval_guide("gpcm")[, c("Route", "GPCMStatus", "InterpretationBoundary")]
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.