Benchmark packaged reference cases

Usage

reference_case_benchmark(
  cases = c("synthetic_truth", "synthetic_latent_regression", "synthetic_bias_contract",
    "study1_itercal_pair", "study2_itercal_pair", "combined_itercal_pair"),
  method = "MML",
  model = "RSM",
  quad_points = 7,
  maxit = 40,
  reltol = 1e-06,
  mml_engine = c("direct", "em", "hybrid")
)

Arguments

cases: Reference cases to run. Defaults to the standard RSM-compatible reference suite. Specialized GPCM and ConQuest-overlap package-side cases can be requested explicitly.
method: Estimation method passed to fit_mfrm(). Defaults to "MML".
model: Model family passed to fit_mfrm(). Defaults to "RSM".
quad_points: Quadrature points for method = "MML".
maxit: Maximum optimizer iterations passed to fit_mfrm().
reltol: Convergence tolerance passed to fit_mfrm().
mml_engine: MML optimization engine passed to fit_mfrm(). Applies only when method = "MML".

Value

An object of class mfrm_reference_benchmark.

Details

This function checks mfrmr against the package's curated reference case families:

synthetic_truth: checks whether recovered facet measures align with the known generating values from the package's synthetic design.
synthetic_latent_regression: checks whether the first-version latent-regression MML branch recovers known population coefficients, residual latent variance, criterion ordering, and posterior-shift direction from a synthetic overlap case.
synthetic_latent_regression_omit: checks whether the population-model complete-case omission policy is reflected in the fitted metadata, response-row review, active person estimates, and replay provenance.
synthetic_conquest_overlap_dry_run: builds the narrow ConQuest-overlap bundle for the latent-regression synthetic case, round-trips package tables through the normalization/review helpers, and confirms the package-side workflow without claiming that ConQuest itself was executed.
synthetic_gpcm: checks whether the bounded GPCM branch recovers known criterion-specific slopes, row-centered step parameters, and criterion ordering from a synthetic overlap case. This case currently requires model = "GPCM" and is intended for method = "MML".
synthetic_bias_contract: checks whether package bias tables and pairwise local comparisons satisfy the identities documented in the bias help workflow.
*_itercal_pair: compares a baseline packaged dataset with its iterative recalibration counterpart to review fit stability, facet-measure alignment, and linking coverage together.

The resulting object is intended as a reference-case check for package behavior. It does not by itself establish external validity against FACETS, ConQuest, or published calibration studies, and it does not assume any familiarity with external table numbering or printer layouts. When specialized latent-regression omission or ConQuest-overlap package-side cases are requested, summary(bench) prints preview rows from population_policy_checks and conquest_overlap_checks alongside the reference notes so the package-versus-external validation boundary remains visible.

Interpreting output

overview: one-row reference-case summary.
case_summary: pass/warn/fail triage by reference case.
fit_runs: fitted-run metadata (fit, precision tier, convergence, and latent-regression population-model/posterior-basis fields, including categorical-coding details when present).
design_checks: exact design recovery checks for each dataset.
recovery_checks: known-truth recovery metrics for the synthetic cases, including the latent-regression reference case.
bias_checks: source-backed bias/local-measure identity checks.
pair_checks: paired-dataset stability screens for the iterated cases.
linking_checks: common-element reviews for paired calibration datasets.
conquest_overlap_checks: package-side checks for the ConQuest-overlap bundle/normalization/review workflow; this remains a package-side check until actual ConQuest output tables are supplied.
population_policy_checks: complete-case omission checks for population model benchmark fixtures.
source_profile: source-backed rules used by the reference checks.

Examples

if (FALSE) { # \dontrun{
bench <- reference_case_benchmark(
  cases = "synthetic_truth",
  method = "JML",
  maxit = 30
)
summary(bench)
} # }