summary.mfrm_population_prediction: Summarize a population-level design forecast

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

Summarize a population-level design forecast

Description

Summarize a population-level design forecast

Usage

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

Arguments

object	Output from predict_mfrm_population().
digits	Number of digits used in numeric summaries.
...	Reserved for generic compatibility.

Value

An object of class summary.mfrm_population_prediction with:

• design: requested future design

• overview: run-level overview

• forecast: facet-level forecast table

• facet_names: public non-person facet names used in the forecast

• design_variable_aliases: public aliases for design variables

• design_descriptor: role-based description of design variables

• planning_scope: explicit record of the current planning contract

• planning_constraints: explicit record of mutable/locked design variables

• planning_schema: combined planner-schema contract

• gpcm_boundary: bounded-GPCM caveat row when present

• future_branch_active_summary: compact deterministic summary of the schema-only future arbitrary-facet planning branch embedded in the current planning schema

• ademp: simulation-study metadata

• notes: interpretation notes

See Also

predict_mfrm_population()

Examples

spec <- build_mfrm_sim_spec(
  n_person = 16,
  n_rater = 3,
  n_criterion = 2,
  raters_per_person = 2,
  assignment = "rotating"
)
pred <- predict_mfrm_population(
  sim_spec = spec,
  design = list(person = 18),
  reps = 1,
  maxit = 30,
  seed = 123
)
s <- summary(pred)
s$overview
s$forecast[, c("Facet", "MeanSeparation", "McseSeparation")]

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