Estimation and Diagnostics for Many-Facet Measurement Models

Documentation for package ‘mfrmr’ version 0.2.4

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mfrmr: Many-Facet Ordered-Response Modeling in R

-- A --

AIC.mfrm_cml_fit	Extract coefficients, covariance, likelihood and observation counts
AIC.mfrm_fit	Extract coefficients, covariance, likelihood and observation counts
analyze_dff	Differential facet functioning analysis
analyze_dif	Differential facet functioning analysis
analyze_facet_equivalence	Analyze practical equivalence within a facet
analyze_hierarchical_structure	Analyze the hierarchical structure of a rating design
analyze_residual_pca	Run exploratory residual PCA summaries
anchor_review	Extract canonical review components
anchor_to_baseline	Fit new data anchored to a baseline calibration
apa_table	Build an APA-oriented table handoff using base R structures
apply_empirical_bayes_shrinkage	Apply empirical-Bayes shrinkage to fitted non-person facet estimates
as.data.frame.mfrm_facets_results	Read FACETS results for standalone visualization
as.data.frame.mfrm_fit	Convert mfrm_fit to a tidy data.frame
assess_mfrm_recovery	Assess whether recovery-simulation results are ready to use
as_flextable	Generic for converting objects to a 'flextable'
as_flextable.apa_table	Convert an 'apa_table' to a 'flextable'
as_ggplot	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.default	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_curve_intervals	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_design_evaluation	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_design_evaluation_plot_data	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_gpcm_bootstrap	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_plot_data	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_results	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_signal_detection	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_signal_detection_plot_data	Convert draw-free mfrmr plot data to ggplot2
as_ggplot.mfrm_slope_intervals	Convert draw-free mfrmr plot data to ggplot2
as_kable	Generic for converting objects to a 'knitr::kable'
as_kable.apa_table	Convert an 'apa_table' to a 'knitr::kable()' object
automated_scoring_table	Automated-scoring compatibility interface for score comparisons

-- B --

bias_count_table	Build a bias-cell count report
bias_interaction_report	Build a bias-interaction plot-data bundle (FACETS Table 13: ranked bias list)
bias_iteration_report	Build a bias-iteration report (FACETS Table 9: iteration / convergence trace)
bias_pairwise_report	Build a conditional bias pairwise-contrast report (Table 14 style)
BIC.mfrm_cml_fit	Extract coefficients, covariance, likelihood and observation counts
BIC.mfrm_fit	Extract coefficients, covariance, likelihood and observation counts
bootstrap_mfrm_gpcm	Parametric bootstrap for GPCM slopes or a matched PCM comparison
build_apa_outputs	Build APA text outputs from model results
build_conquest_overlap_bundle	Build a scoped ConQuest-overlap bundle
build_equating_chain	Build a screened linking chain across ordered calibrations
build_fixed_reports	Build legacy-compatible fixed-width text reports
build_linking_review	Build a linking-review synthesis object
build_mfrm_manifest	Build a reproducibility manifest for an MFRM analysis
build_mfrm_network_review	Build an MFRM network review
build_mfrm_replay_script	Build a package-native replay script for an MFRM analysis
build_mfrm_resampling_spec	Build an observed-data resampling specification
build_mfrm_sim_spec	Build an explicit simulation specification for MFRM design studies
build_misfit_casebook	Build a case-level misfit review bundle
build_model_choice_review	Build a model-choice review across RSM, PCM, and GPCM fits
build_peer_review_design_review	Review a peer-assessment assignment design
build_peer_review_sim_spec	Build a peer-review simulation specification
build_summary_table_bundle	Build a manuscript-oriented table bundle from 'summary()' outputs
build_visual_summaries	Build warning and narrative summaries for visual outputs
build_weighting_review	Build a weighting-policy review between Rasch-family and GPCM fits

-- C --

category_curves_report	Build a category curve export bundle (preferred alias)
category_structure_report	Build a category structure report (preferred alias)
classification_table	Evaluate classification accuracy, consistency and conditional precision
coef.mfrm_cml_fit	Extract coefficients, covariance, likelihood and observation counts
coef.mfrm_comparison_fit	Extract coefficients, covariance, likelihood and observation counts
coef.mfrm_fit	Extract coefficients, covariance, likelihood and observation counts
coef.mfrm_jeffreys_fit	Inspect a Jeffreys-penalized fit
coef.mfrm_network_ergm	Fit an ERGM to a declared binary rater network
compare_mfrm	Compare two or more fitted MFRM models
compatibility_alias_table	List retained compatibility aliases and preferred names
compute_facet_design_effect	Compute descriptive design-effect approximations for each facet
compute_facet_icc	Compute intra-class correlations for each facet
compute_information	Compute design-weighted precision curves for ordered many-facet fits
compute_person_fit_indices	Person fit indices: lz and Snijders-corrected lz*
confint.mfrm_cml_fit	Confidence intervals for native fit coefficients and GPCM slopes
confint.mfrm_comparison_fit	Confidence intervals for native fit coefficients and GPCM slopes
confint.mfrm_facet_intervals	Pointwise intervals for fixed facet estimates and contrasts
confint.mfrm_fair_average	Intervals for common-plan Person expected scores
confint.mfrm_fit	Confidence intervals for native fit coefficients and GPCM slopes
confint.mfrm_gpcm_bootstrap	Parametric bootstrap for GPCM slopes or a matched PCM comparison
confint.mfrm_jeffreys_fit	Inspect a Jeffreys-penalized fit
confint.mfrm_multivariate_d_study	Confidence intervals for dependability and SEM in D-study plans
confint.mfrm_multivariate_gstudy	Sampling uncertainty in G-study variance and covariance components
confint.mfrm_network_ergm	Fit an ERGM to a declared binary rater network
confint.mfrm_posterior_summary	Read an exported Bayesian measurement summary
confint.mfrm_random_rater	Population-SD profiles and explicit shared-rater model intervals
confint.mfrm_random_rater_intervals	Bootstrap prediction intervals for observed random raters
confint.mfrm_testlet	Explicit normal-approximation intervals for testlet calibration

-- D --

data_quality_report	Build a data quality summary report (preferred alias)
describe_mfrm_data	Check rating data before fitting an MFRM
detect_anchor_drift	Detect anchor drift across multiple calibrations
detect_facet_nesting	Detect nesting structure between facets
diagnose_mfrm	Compute diagnostics for an 'mfrm_fit' object
dif_interaction_table	Compute interaction table between a facet and a grouping variable
dif_report	Generate a differential-functioning interpretation report
displacement_table	Compute displacement diagnostics for facet levels
draw_mfrm_resamples	Draw observed-data MFRM resamples

-- E --

ej2021_combined	Legacy synthetic MFRM datasets inspired by Eckes and Jin (2021)
ej2021_combined_itercal	Legacy synthetic MFRM datasets inspired by Eckes and Jin (2021)
ej2021_data	Legacy synthetic MFRM datasets inspired by Eckes and Jin (2021)
ej2021_study1	Legacy synthetic MFRM datasets inspired by Eckes and Jin (2021)
ej2021_study1_itercal	Legacy synthetic MFRM datasets inspired by Eckes and Jin (2021)
ej2021_study2	Legacy synthetic MFRM datasets inspired by Eckes and Jin (2021)
ej2021_study2_itercal	Legacy synthetic MFRM datasets inspired by Eckes and Jin (2021)
estimate_all_bias	Estimate bias across multiple facet pairs
estimate_bias	Estimate bias and interaction screening terms
estimation_iteration_report	Build an estimation-iteration report (preferred alias)
evaluate_mfrm_design	Evaluate MFRM design conditions by repeated simulation
evaluate_mfrm_diagnostic_screening	Evaluate legacy and strict marginal diagnostic screening under controlled misfit scenarios
evaluate_mfrm_recovery	Simulate parameter recovery by repeated generation and refitting
evaluate_mfrm_signal_detection	Evaluate DIF power and bias-screening behavior under known simulated signals
export_mfrm	Export fitted MFRM tables to CSV files
export_mfrm_bundle	Export a fit-level analysis archive
export_mfrm_model	Export a measurement model to Stan or brms
export_mfrm_results	Export an mfrm_results analysis archive
export_mfrm_tables	Export fitted MFRM tables to CSV files
export_summary_appendix	Export manuscript appendix tables from documented summary surfaces
extract_mfrm_calibration	Create and use a portable fixed calibration
extract_mfrm_sim_spec	Derive a simulation specification from a fitted MFRM object

-- F --

facets_chisq_table	Build facet variability diagnostics with fixed/random reference tests
facets_feature_coverage	FACETS Feature Coverage Matrix
facets_fit_df_guide	Guide FACETS-style fit df and ZSTD standardization
facets_fit_review	Review fit standardization against FACETS-style ZSTD conventions
facets_output_contract_review	Build a FACETS output-contract review
facets_output_file_bundle	Build native graph and observation-score output files
facets_positioning_guide	FACETS Positioning Guide
facets_term_crosswalk	FACETS-to-mfrmr term crosswalk
facets_visual_contract	FACETS-facing visual contract
facet_quality_dashboard	Facet-quality dashboard for facet-level screening
facet_small_sample_review	Review rating counts for each facet level
facet_statistics_report	Build a facet statistics report (preferred alias)
fair_average_table	Build an adjusted-score reference table bundle
fitted.mfrm_cml_fit	Extract fitted rating values and residuals
fitted.mfrm_comparison_fit	Extract fitted rating values and residuals
fitted.mfrm_fit	Extract fitted rating values and residuals
fitted.mfrm_jeffreys_fit	Inspect a Jeffreys-penalized fit
fit_measures_table	Build a FACETS-style fit-measures review table
fit_mfrm	Fit many-facet ordered-response models with a flexible number of facets
fit_mfrm_imputed	Fit the same MFRM to every completed rating data set
fit_mfrm_random_rater	Fit a rating-scale model with shared random rater severity
fit_mfrm_testlet	Fit a rating-scale model with dependence within Person-specific testlets
fit_rater_accuracy	Estimate criterion-referenced rater accuracy from exact matches
fit_rater_network	Fit an ERGM to a declared binary rater network
freeze_mfrm_calibration	Create and use a portable fixed calibration

-- G --

gpcm_capability_matrix	GPCM workflow and score availability
gpcm_mml_quadrature_sensitivity	Review MML sensitivity to the quadrature grid
gpcm_runtime_guard_coverage	GPCM workflow and score availability
gpcm_score_side_contract	GPCM workflow and score availability
gwet_ac2_table	Compute Gwet's AC2 or unweighted AC1

-- I --

import_erm_fit	Import an 'eRm' fit to an mfrmr-compatible bundle
import_facets_fit_table	Read a FACETS fit table for fit review
import_mirt_fit	Import an 'mirt' fit to an mfrmr-compatible bundle
import_tam_fit	Import a 'TAM' fit to an mfrmr-compatible bundle
interaction_effect_table	Extract model-estimated facet interaction effects
interrater_agreement_table	Build an inter-rater agreement report

-- K --

krippendorff_alpha_table

Compute Krippendorff's alpha across raters

-- L --

launch_mfrmr_viewer	Launch a local Shiny viewer for an mfrm_results object
list_mfrmr_data	List packaged ordered-response MFRM datasets
load_mfrmr_data	Load a packaged ordered-response MFRM dataset
load_mfrm_calibration	Create and use a portable fixed calibration
logLik.mfrm_cml_fit	Extract coefficients, covariance, likelihood and observation counts
logLik.mfrm_comparison_fit	Extract coefficients, covariance, likelihood and observation counts
logLik.mfrm_fit	Extract coefficients, covariance, likelihood and observation counts
logLik.mfrm_jeffreys_fit	Inspect a Jeffreys-penalized fit

-- M --

make_anchor_table	Build a candidate direct-anchor table from fitted estimates
mantel_haenszel_table	Compare binary responses between matched groups
measurable_summary_table	Build a measurable-data summary
mfrmr	mfrmr: Many-Facet Ordered-Response Modeling in R
mfrmRFacets	Run a legacy-compatible estimation workflow wrapper
mfrmr_agreement_data	Synthetic ratings illustrating agreement, offsets and missing scores
mfrmr_compatibility_layer	mfrmr Compatibility Layer Map
mfrmr_example_agreement	Synthetic ratings illustrating agreement, offsets and missing scores
mfrmr_example_bias	Synthetic many-facet rating examples
mfrmr_example_core	Synthetic many-facet rating examples
mfrmr_example_data	Synthetic many-facet rating examples
mfrmr_example_gtheory_crossed	Synthetic crossed and nested data for learning G theory
mfrmr_example_gtheory_nested	Synthetic crossed and nested data for learning G theory
mfrmr_example_operational	Synthetic many-facet rating examples
mfrmr_example_operational_design	Planned assignment roster for the operational example
mfrmr_gtheory_data	Synthetic crossed and nested data for learning G theory
mfrmr_interval_guide	Confidence-interval and uncertainty route guide
mfrmr_linking_and_dff	mfrmr Linking and DFF Guide
mfrmr_methods_reference	What mfrmr Calculates and Where to Read More
mfrmr_model_maps	Wright and Pathway maps for extended RSMs
mfrmr_output_guide	Choose an mfrmr output helper by user goal
mfrmr_plot_migration	Plotting after the 0.2.4 API consolidation
mfrmr_reporting_and_apa	mfrmr Reporting and APA Guide
mfrmr_reports_and_tables	mfrmr Reports and Tables Map
mfrmr_visual_diagnostics	mfrmr Visual Diagnostics Map
mfrmr_workflow_methods	mfrmr Workflow and Method Map
mfrm_calibration_capabilities	Portable fixed-calibration capabilities
mfrm_calibration_methods	Inspect a portable fixed calibration
mfrm_calibration_score_methods	Review and plot portable fixed-calibration scores
mfrm_calibration_workflow	Create and use a portable fixed calibration
mfrm_cluster	Group mixed external features using Gower distances and PAM
mfrm_cluster_compare	Compare exploratory groups across settings and clustering methods
mfrm_cluster_hierarchical	Hierarchical grouping of external features
mfrm_cluster_imputed	Compare exploratory groups across external-feature imputations
mfrm_cluster_kmeans	K-means groups from numeric features or retained principal components
mfrm_cluster_pam	Group mixed external features using Gower distances and PAM
mfrm_curve_intervals	Uncertainty in GPCM category probabilities and information curves
mfrm_dff_methods	Review differential-functioning results
mfrm_d_study	Plan measurement conditions with a D-study
mfrm_d_study.default	Plan measurement conditions with a D-study
mfrm_d_study.mfrm_fit	Main-effects D-study approximation
mfrm_d_study.mfrm_generalizability	Main-effects D-study approximation
mfrm_d_study.mfrm_multivariate_gstudy	Plan measurement conditions with a D-study
mfrm_d_study_main_effects	Main-effects D-study approximation
mfrm_facet_intervals	Pointwise intervals for fixed facet estimates and contrasts
mfrm_features	Prepare external features for exploratory grouping
mfrm_fit_extractors	Extract coefficients, covariance, likelihood and observation counts
mfrm_fit_responses	Extract fitted rating values and residuals
mfrm_generalizability	Main-effects generalizability approximation for an MFRM design
mfrm_g_study	G-study for one or several observed scores
mfrm_misfit_thresholds	MnSq misfit threshold pair used across mfrmr screening helpers
mfrm_multivariate_d_compare	Compare prespecified multivariate D-study plans
mfrm_multivariate_d_study	Plan measurement conditions with a D-study
mfrm_multivariate_gstudy	G-study for one or several observed scores
mfrm_network_analysis	Analyze the MFRM design network
mfrm_pca	Principal components of numeric external features
mfrm_population_intervals	Pointwise intervals for a conditional-normal population model
mfrm_random_rater_intervals	Bootstrap prediction intervals for observed random raters
mfrm_report	Build reports from measurement, G/D-study or residual results
mfrm_residual_network	Explore residual associations and groups of facet levels
mfrm_response_diagnostics	Describe fitted response probabilities and residuals
mfrm_response_imputations	Review multiple imputations of scores on assigned ratings
mfrm_results	Build comprehensive first-screen MFRM results
mfrm_results_interactive	Interactively choose data-frame columns before calling 'mfrm_results()'
mfrm_screening_performance	Evaluate screening outcomes against a planned simulation roster
mfrm_screening_sensitivity	Compare fit-screening thresholds against known simulation truth
mfrm_threshold_profiles	List literature-based warning threshold profiles
mml_quadrature_sensitivity	Review MML sensitivity to the quadrature grid

-- N --

nobs.mfrm_cml_fit	Extract coefficients, covariance, likelihood and observation counts
nobs.mfrm_comparison_fit	Extract coefficients, covariance, likelihood and observation counts
nobs.mfrm_fit	Extract coefficients, covariance, likelihood and observation counts
normalize_conquest_overlap_exports	Normalize the CSV exports generated by the ConQuest overlap template
normalize_conquest_overlap_files	Normalize extracted ConQuest overlap files to the 'mfrmr' review contract
normalize_conquest_overlap_tables	Normalize extracted ConQuest overlap tables to the 'mfrmr' review contract

-- O --

ordinal_logistic_table

Compare ordered responses using cumulative logistic models

-- P --

pairwise_icc_table	Compute observed-score ICCs for each rater pair
pairwise_kappa_table	Compute pairwise weighted Cohen's kappa
plot.apa_table	Build an APA-oriented table handoff using base R structures
plot.mfrm_anchor_drift	Detect anchor drift across multiple calibrations
plot.mfrm_anchor_review	Review and normalize anchor/group-anchor tables
plot.mfrm_bias	Estimate bias and interaction screening terms
plot.mfrm_bias_collection	Estimate bias across multiple facet pairs
plot.mfrm_bundle	Plot report/table bundles with base R defaults
plot.mfrm_calibration_score	Review and plot portable fixed-calibration scores
plot.mfrm_clusters	Plot exploratory groups and imputation sensitivity
plot.mfrm_curve_intervals	Uncertainty in GPCM category probabilities and information curves
plot.mfrm_data_description	Check rating data before fitting an MFRM
plot.mfrm_design_evaluation	Plot a design-simulation study
plot.mfrm_design_recommendation	Recommend a design condition from simulation results
plot.mfrm_diagnostics	Compute diagnostics for an 'mfrm_fit' object
plot.mfrm_diagnostic_screening	Plot a diagnostic-screening simulation study
plot.mfrm_dif	Plot differential facet functioning
plot.mfrm_dif_interaction	Compute interaction table between a facet and a grouping variable
plot.mfrm_dstudy_intervals	Compare D-study confidence interval methods
plot.mfrm_d_study	Plot design comparisons from a main-effects D-study
plot.mfrm_equating_chain	Build a screened linking chain across ordered calibrations
plot.mfrm_extended_comparison	Compare two or more fitted MFRM models
plot.mfrm_facets_results	Read FACETS results for standalone visualization
plot.mfrm_facets_run	Run a legacy-compatible estimation workflow wrapper
plot.mfrm_facet_dashboard	Facet-quality dashboard for facet-level screening
plot.mfrm_facet_equivalence	Analyze practical equivalence within a facet
plot.mfrm_facet_intervals	Pointwise intervals for fixed facet estimates and contrasts
plot.mfrm_facet_nesting	Plot the pairwise nesting index matrix
plot.mfrm_facet_sample_review	Review rating counts for each facet level
plot.mfrm_fair_intervals	Intervals for common-plan Person expected scores
plot.mfrm_fit	Plot fitted MFRM results with base R
plot.mfrm_gpcm_bootstrap	Display saved GPCM intervals and bootstrap results
plot.mfrm_hierarchical_clusters	Hierarchical grouping of external features
plot.mfrm_imputed_clusters	Plot exploratory groups and imputation sensitivity
plot.mfrm_information	Compute design-weighted precision curves for ordered many-facet fits
plot.mfrm_multivariate_d_comparison	Compare prespecified multivariate D-study plans
plot.mfrm_multivariate_d_study	Compare measurement-condition counts in a multivariate D-study
plot.mfrm_multivariate_gstudy	Inspect sources of observed-score variation
plot.mfrm_network_ergm	Fit an ERGM to a declared binary rater network
plot.mfrm_pca	Principal components of numeric external features
plot.mfrm_person_scores	Estimate abilities for people already included in a fitted RSM
plot.mfrm_pooled	Pool common facet targets across imputed rating analyses
plot.mfrm_population_intervals	Pointwise intervals for a conditional-normal population model
plot.mfrm_posterior_summary	Read an exported Bayesian measurement summary
plot.mfrm_qc_pipeline	Run automated quality control pipeline
plot.mfrm_random_rater	Fit a rating-scale model with shared random rater severity
plot.mfrm_random_rater_intervals	Bootstrap prediction intervals for observed random raters
plot.mfrm_random_rater_scores	Score Persons while integrating shared random raters
plot.mfrm_recovery_assessment	Assess whether recovery-simulation results are ready to use
plot.mfrm_recovery_simulation	Plot parameter-recovery simulation results
plot.mfrm_residual_network	Explore residual associations and groups of facet levels
plot.mfrm_residual_pca	Run exploratory residual PCA summaries
plot.mfrm_response_diagnostics	Describe fitted response probabilities and residuals
plot.mfrm_response_time_review	Review response-time patterns outside the MFRM likelihood
plot.mfrm_screening_performance	Evaluate screening outcomes against a planned simulation roster
plot.mfrm_screening_sensitivity	Compare fit-screening thresholds against known simulation truth
plot.mfrm_signal_detection	Evaluate DIF power and bias-screening behavior under known simulated signals
plot.mfrm_slope_intervals	Display saved GPCM intervals and bootstrap results
plot.mfrm_summary_table_bundle	Build a manuscript-oriented table bundle from 'summary()' outputs
plot.mfrm_testlet	Fit a rating-scale model with dependence within Person-specific testlets
plot.mfrm_testlet_scores	Score Persons using a fixed testlet calibration
plot_data	Extract reusable data from an mfrmr plot object
plot_data_components	List reusable components in mfrmr plot data
pool_mfrm_imputed	Pool common facet targets across imputed rating analyses
precision_review	Extract canonical review components
precision_review_report	Build a precision review report
predict.mfrm_cml_fit	Extract fitted rating values and residuals
predict.mfrm_comparison_fit	Extract fitted rating values and residuals
predict.mfrm_fit	Extract fitted rating values and residuals
predict.mfrm_random_rater	Predict category probabilities for observed or replacement raters
predict.mfrm_testlet	Score Persons using a fixed testlet calibration
predict_mfrm_population	Forecast population-level MFRM operating characteristics for one future design
predict_mfrm_units	Score future or partially observed units under the fitted scoring basis
print.mfrm_anchored_fit	Fit new data anchored to a baseline calibration
print.mfrm_anchor_drift	Detect anchor drift across multiple calibrations
print.mfrm_apa_text	Print APA narrative text with preserved line breaks
print.mfrm_bias_collection	Estimate bias across multiple facet pairs
print.mfrm_calibration	Inspect a portable fixed calibration
print.mfrm_calibration_score	Review and plot portable fixed-calibration scores
print.mfrm_clusters	Group mixed external features using Gower distances and PAM
print.mfrm_cluster_comparison	Compare exploratory groups across settings and clustering methods
print.mfrm_cml_fit	Fit many-facet ordered-response models with a flexible number of facets
print.mfrm_comparison_fit	Fit many-facet ordered-response models with a flexible number of facets
print.mfrm_curve_intervals	Uncertainty in GPCM category probabilities and information curves
print.mfrm_design_recommendation	Recommend a design condition from simulation results
print.mfrm_dff	Review differential-functioning results
print.mfrm_dif	Review differential-functioning results
print.mfrm_equating_chain	Build a screened linking chain across ordered calibrations
print.mfrm_extended_comparison	Compare two or more fitted MFRM models
print.mfrm_facets_results	Read FACETS results for standalone visualization
print.mfrm_facet_intervals	Pointwise intervals for fixed facet estimates and contrasts
print.mfrm_fair_intervals	Intervals for common-plan Person expected scores
print.mfrm_features	Prepare external features for exploratory grouping
print.mfrm_gpcm_bootstrap	Parametric bootstrap for GPCM slopes or a matched PCM comparison
print.mfrm_imputed_clusters	Compare exploratory groups across external-feature imputations
print.mfrm_imputed_fits	Fit the same MFRM to every completed rating data set
print.mfrm_jeffreys_fit	Inspect a Jeffreys-penalized fit
print.mfrm_multivariate_d_comparison	Compare prespecified multivariate D-study plans
print.mfrm_multivariate_d_study	Plan measurement conditions with a D-study
print.mfrm_multivariate_gstudy	G-study for one or several observed scores
print.mfrm_pca	Principal components of numeric external features
print.mfrm_person_scores	Estimate abilities for people already included in a fitted RSM
print.mfrm_pooled	Pool common facet targets across imputed rating analyses
print.mfrm_population_intervals	Pointwise intervals for a conditional-normal population model
print.mfrm_posterior_summary	Read an exported Bayesian measurement summary
print.mfrm_random_rater	Fit a rating-scale model with shared random rater severity
print.mfrm_random_rater_intervals	Bootstrap prediction intervals for observed random raters
print.mfrm_random_rater_scores	Score Persons while integrating shared random raters
print.mfrm_residual_network	Explore residual associations and groups of facet levels
print.mfrm_response_diagnostics	Describe fitted response probabilities and residuals
print.mfrm_response_imputations	Review multiple imputations of scores on assigned ratings
print.mfrm_screening_performance	Evaluate screening outcomes against a planned simulation roster
print.mfrm_screening_sensitivity	Compare fit-screening thresholds against known simulation truth
print.mfrm_sim_spec	Build an explicit simulation specification for MFRM design studies
print.mfrm_testlet	Fit a rating-scale model with dependence within Person-specific testlets
print.mfrm_testlet_scores	Score Persons using a fixed testlet calibration
print.summary.mfrm_anchored_fit	Fit new data anchored to a baseline calibration
print.summary.mfrm_anchor_drift	Detect anchor drift across multiple calibrations
print.summary.mfrm_bias_collection	Estimate bias across multiple facet pairs
print.summary.mfrm_calibration	Inspect a portable fixed calibration
print.summary.mfrm_calibration_score	Review and plot portable fixed-calibration scores
print.summary.mfrm_design_recommendation	Recommend a design condition from simulation results
print.summary.mfrm_dff	Review differential-functioning results
print.summary.mfrm_dif	Review differential-functioning results
print.summary.mfrm_equating_chain	Build a screened linking chain across ordered calibrations
print.summary.mfrm_imported_fit	Import an 'mirt' fit to an mfrmr-compatible bundle
print.summary.mfrm_multivariate_d_study	Summarize assessment plans with their uncertainty

-- Q --

q3_statistic

mfrmr standardized/aggregated-residual Q3-style screen

-- R --

rater_centrality_table	Describe rater centrality using RSM residuals and rater-specific PCM steps
rater_halo_network_analysis	Analyze rater-by-criterion halo-effect networks
rater_network_analysis	Analyze rater agreement, disagreement, and severity-direction networks
rating_scale_table	Build a rating-scale diagnostics report
read_facets_fit_table	Read a FACETS fit table for fit review
read_facets_results	Read FACETS results for standalone visualization
read_mfrm_posterior	Read an exported Bayesian measurement summary
recode_missing_codes	Recode common missing-value sentinels to 'NA'
recommend_mfrm_design	Recommend a design condition from simulation results
reference_case_benchmark	Benchmark packaged reference cases
reference_case_review	Build a package-native reference review for report completeness
reporting_checklist	Build an auto-filled MFRM reporting checklist
residuals.mfrm_cml_fit	Extract fitted rating values and residuals
residuals.mfrm_comparison_fit	Extract fitted rating values and residuals
residuals.mfrm_fit	Extract fitted rating values and residuals
response_time_review	Review response-time patterns outside the MFRM likelihood
retire_mfrm_calibration	Create and use a portable fixed calibration
review_accessors	Extract canonical review components
review_conquest_overlap	Review a ConQuest comparison within the documented 'mfrmr' overlap scope
review_mfrm_anchors	Review and normalize anchor/group-anchor tables
review_mfrm_calibration	Create and use a portable fixed calibration
review_mfrm_imputations	Review multiple imputations of scores on assigned ratings
review_peer_design	Review a peer-assessment assignment design
run_mfrm_facets	Run a legacy-compatible estimation workflow wrapper
run_qc_pipeline	Run automated quality control pipeline

-- S --

sample_mfrm_plausible_values	Sample approximate plausible values under fitted posterior scoring
save_mfrm_calibration	Create and use a portable fixed calibration
score_comparison_table	Compare aligned scores against reference ratings
score_mfrm_calibration	Create and use a portable fixed calibration
score_mfrm_persons	Estimate abilities for people already included in a fitted RSM
score_mfrm_random_rater	Score Persons while integrating shared random raters
shrinkage_report	Extract the shrinkage report from a fitted mfrm_fit
simulate_mfrm_data	Simulate long-format ordered many-facet data for design studies
simulate_mfrm_recovery	Simulate parameter recovery by repeated generation and refitting
specifications_report	Build a specification summary report (preferred alias)
subset_connectivity_report	Build a subset connectivity report (preferred alias)
summary.apa_table	Build an APA-oriented table handoff using base R structures
summary.mfrm_anchored_fit	Fit new data anchored to a baseline calibration
summary.mfrm_anchor_drift	Detect anchor drift across multiple calibrations
summary.mfrm_anchor_review	Review and normalize anchor/group-anchor tables
summary.mfrm_apa_outputs	Build APA text outputs from model results
summary.mfrm_bias	Estimate bias and interaction screening terms
summary.mfrm_bias_collection	Estimate bias across multiple facet pairs
summary.mfrm_bundle	Summarize report/table bundles in a user-friendly format
summary.mfrm_calibration	Inspect a portable fixed calibration
summary.mfrm_calibration_score	Review and plot portable fixed-calibration scores
summary.mfrm_clusters	Group mixed external features using Gower distances and PAM
summary.mfrm_cluster_comparison	Compare exploratory groups across settings and clustering methods
summary.mfrm_cml_fit	Fit many-facet ordered-response models with a flexible number of facets
summary.mfrm_comparison_fit	Fit many-facet ordered-response models with a flexible number of facets
summary.mfrm_curve_intervals	Uncertainty in GPCM category probabilities and information curves
summary.mfrm_data_description	Check rating data before fitting an MFRM
summary.mfrm_design_evaluation	Summarize a design-simulation study
summary.mfrm_design_recommendation	Recommend a design condition from simulation results
summary.mfrm_dff	Review differential-functioning results
summary.mfrm_diagnostics	Summarize an 'mfrm_diagnostics' object in a user-friendly format
summary.mfrm_diagnostic_screening	Summarize a diagnostic-screening simulation study
summary.mfrm_dif	Review differential-functioning results
summary.mfrm_d_study	Main-effects D-study approximation
summary.mfrm_equating_chain	Build a screened linking chain across ordered calibrations
summary.mfrm_extended_comparison	Compare two or more fitted MFRM models
summary.mfrm_facets_results	Read FACETS results for standalone visualization
summary.mfrm_facets_run	Summarize a legacy-compatible workflow run
summary.mfrm_facet_dashboard	Facet-quality dashboard for facet-level screening
summary.mfrm_facet_intervals	Pointwise intervals for fixed facet estimates and contrasts
summary.mfrm_fair_intervals	Intervals for common-plan Person expected scores
summary.mfrm_features	Prepare external features for exploratory grouping
summary.mfrm_fit	Summarize an 'mfrm_fit' object in a user-friendly format
summary.mfrm_gpcm_bootstrap	Parametric bootstrap for GPCM slopes or a matched PCM comparison
summary.mfrm_imported_fit	Import an 'mirt' fit to an mfrmr-compatible bundle
summary.mfrm_imputed_clusters	Compare exploratory groups across external-feature imputations
summary.mfrm_imputed_fits	Fit the same MFRM to every completed rating data set
summary.mfrm_jeffreys_fit	Inspect a Jeffreys-penalized fit
summary.mfrm_linking_review	Build a linking-review synthesis object
summary.mfrm_misfit_casebook	Build a case-level misfit review bundle
summary.mfrm_model_choice_review	Build a model-choice review across RSM, PCM, and GPCM fits
summary.mfrm_multivariate_d_comparison	Compare prespecified multivariate D-study plans
summary.mfrm_multivariate_d_study	Summarize assessment plans with their uncertainty
summary.mfrm_multivariate_gstudy	G-study for one or several observed scores
summary.mfrm_network_ergm	Fit an ERGM to a declared binary rater network
summary.mfrm_network_review	Build an MFRM network review
summary.mfrm_pca	Principal components of numeric external features
summary.mfrm_peer_review_design_review	Review a peer-assessment assignment design
summary.mfrm_person_fit_indices	Person fit indices: lz and Snijders-corrected lz*
summary.mfrm_person_scores	Estimate abilities for people already included in a fitted RSM
summary.mfrm_plausible_values	Sample approximate plausible values under fitted posterior scoring
summary.mfrm_pooled	Pool common facet targets across imputed rating analyses
summary.mfrm_population_intervals	Pointwise intervals for a conditional-normal population model
summary.mfrm_population_prediction	Summarize a population-level design forecast
summary.mfrm_posterior_summary	Read an exported Bayesian measurement summary
summary.mfrm_random_rater	Fit a rating-scale model with shared random rater severity
summary.mfrm_random_rater_intervals	Bootstrap prediction intervals for observed random raters
summary.mfrm_random_rater_scores	Score Persons while integrating shared random raters
summary.mfrm_reporting_checklist	Build an auto-filled MFRM reporting checklist
summary.mfrm_residual_network	Explore residual associations and groups of facet levels
summary.mfrm_response_diagnostics	Describe fitted response probabilities and residuals
summary.mfrm_response_imputations	Review multiple imputations of scores on assigned ratings
summary.mfrm_response_time_review	Review response-time patterns outside the MFRM likelihood
summary.mfrm_screening_performance	Evaluate screening outcomes against a planned simulation roster
summary.mfrm_screening_sensitivity	Compare fit-screening thresholds against known simulation truth
summary.mfrm_signal_detection	Summarize a DIF/bias screening simulation
summary.mfrm_summary_table_bundle	Build a manuscript-oriented table bundle from 'summary()' outputs
summary.mfrm_testlet	Fit a rating-scale model with dependence within Person-specific testlets
summary.mfrm_testlet_scores	Score Persons using a fixed testlet calibration
summary.mfrm_threshold_profiles	List literature-based warning threshold profiles
summary.mfrm_unit_prediction	Score future or partially observed units under the fitted scoring basis
summary.mfrm_weighting_review	Build a weighting-policy review between Rasch-family and GPCM fits
supersede_mfrm_calibration	Create and use a portable fixed calibration

-- U --

unexpected_after_bias_table	Build an unexpected-after-adjustment screening report
unexpected_response_table	Build an unexpected-response screening report

-- V --

validate_mfrm_calibration	Create and use a portable fixed calibration
vcov.mfrm_cml_fit	Extract coefficients, covariance, likelihood and observation counts
vcov.mfrm_comparison_fit	Extract coefficients, covariance, likelihood and observation counts
vcov.mfrm_facet_intervals	Pointwise intervals for fixed facet estimates and contrasts
vcov.mfrm_fit	Extract coefficients, covariance, likelihood and observation counts
vcov.mfrm_jeffreys_fit	Inspect a Jeffreys-penalized fit
vcov.mfrm_multivariate_gstudy	Sampling covariance and SEs of G-study component estimates
vcov.mfrm_network_ergm	Fit an ERGM to a declared binary rater network
vcov.mfrm_population_intervals	Pointwise intervals for a conditional-normal population model
visual_reporting_template	Figure-reporting template for visual diagnostics

-- W --

write_mfrm_residual_file	Write a standalone residual file
write_mfrm_subset_file	Write standalone subset-connectivity files