{
  "_id": "6ac95e1dde46216d5eddaa00",
  "Package": "gp3bayes",
  "Title": "Contract-First Bayesian Workflows for Hierarchical Behavioural\nData",
  "Version": "0.6.0",
  "Authors@R": "person(\ngiven = \"Stefanos\",\nfamily = \"Balaskas\",\nemail = \"s.balaskas@ac.upatras.gr\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-2444-9796\")\n)",
  "Description": "Provides transparent, contract-first infrastructure for\nBayesian analysis of repeated-measures and hierarchical\nbehavioural data. It supports approved Bernoulli-logit,\npositive lognormal duration, and governed Gaussian\ndynamic-pupillometry workflows with strict readiness auditing,\ndeterministic simulation, explicit preparation and\ntransformation replay, inspectable scale-aware priors, prior\nand posterior predictive checks, restricted optional fitting\nthrough 'brms' with either 'rstan' or 'cmdstanr', sampling and\ntemporal diagnostics, explicit posterior estimands, sensitivity\nanalysis, target-specific predictive validation,\nsimulation-based calibration, and conservative reporting. Core\ncontracts and validation remain backend-independent. Version\n0.5 adds governed robust and distributional dynamic\npupillometry, bounded ARMA residual structures,\nGaussian-process trajectories, explicit measurement uncertainty\nand missing-data models, joint binocular analysis, predictive\nmodel comparison, functional posterior estimands, and\nexperimental nonlinear response-shape models while preserving\nexplicit scientific and computational governance boundaries.\nVersion 0.6 adds retention-first Bayesian SCR responsivity\naccountability and governed trial-level multilevel gaze\nmediation with explicit within- and between-participant\nestimands, serial and moderated extensions, convergence gating,\nand observation-aligned predictive model comparison.",
  "License": "MIT + file LICENSE",
  "URL": "https://stefanosbalaskas.github.io/gp3bayes/,\nhttps://github.com/stefanosbalaskas/gp3bayes",
  "BugReports": "https://github.com/stefanosbalaskas/gp3bayes/issues",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "Additional_repositories": "https://stan-dev.r-universe.dev,\nhttps://r-multiverse.r-universe.dev",
  "Repository": "https://stefanosbalaskas.r-universe.dev",
  "Date/Publication": "2026-10-09 18:53:03 UTC",
  "RemoteUrl": "https://github.com/stefanosbalaskas/gp3bayes",
  "RemoteRef": "HEAD",
  "RemoteSha": "e6b3535e675e91bb267ca1c5d2fd0d558360a9d0",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-09 21:28:42 UTC",
    "User": "root"
  },
  "Author": "Stefanos Balaskas [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-2444-9796>)",
  "Maintainer": "Stefanos Balaskas <s.balaskas@ac.upatras.gr>",
  "_user": "stefanosbalaskas",
  "_type": "src",
  "_file": "gp3bayes_0.6.0.tar.gz",
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  "_expires": "2027-01-17T21:35:23.000Z",
  "_created": "2026-10-09T21:28:42.000Z",
  "_published": "2026-10-09T21:35:25.660Z",
  "_buildurl": "https://github.com/r-universe/stefanosbalaskas/actions/runs/37993025087",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
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    "author": "Stefanos Balaskas <stefbalaskas@gmail.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "docs: publish rendered mediation estimation and confounding figure gallery\n\n* Docs: rendered mediation effect, bootstrap, graph and confounding gallery\n\n* Show new reproducible figure gallery in R pkgdown articles\n\n* Ensure genuine fenced executable R Markdown chunks render in pkgdown",
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    "name": "Stefanos Balaskas",
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    {
      "package": "SBC",
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  "_topics": [
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    "bayesian-inference",
    "bayesian-optimization",
    "bayesian-statistics",
    "hierarchical-models",
    "pupillometry",
    "reproducible-research",
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  "_devurl": "https://github.com/stefanosbalaskas/gp3bayes",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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  "_homeurl": "https://github.com/stefanosbalaskas/gp3bayes",
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  "_exports": [
    "advanced_pupil_trajectory_table",
    "analysis_bundle_table",
    "analysis_manifest_table",
    "apply_transformation_recipe",
    "as_pupil_prediction_draws",
    "assess_binary_prior_sensitivity",
    "assess_duration_prior_sensitivity",
    "assess_powerscaled_sensitivity",
    "audit_advanced_pupil_identifiability",
    "audit_backend_parity",
    "audit_binocular_pupil_readiness",
    "audit_design_support",
    "audit_duration_boundaries",
    "audit_duration_unit_invariance",
    "audit_estimand_invariance",
    "audit_fixed_effect_design",
    "audit_missingness_structure",
    "audit_model_readiness",
    "audit_model_readiness_strict",
    "audit_prediction_support",
    "audit_pupil_computational_budget",
    "audit_pupil_measurement_context",
    "audit_pupil_measurement_model",
    "audit_pupil_missingness",
    "audit_pupil_predictive_calibration",
    "audit_pupil_readiness",
    "audit_pupil_temporal_dependence",
    "audit_random_effects_support",
    "backend_capabilities",
    "backend_environment_table",
    "backend_parity_table",
    "bayesian_backend_capabilities",
    "binary_calibration_error",
    "binary_calibration_table",
    "binary_calibration_uncertainty",
    "binary_calibration_uncertainty_table",
    "binary_confusion_table",
    "binary_group_calibration",
    "binary_precision_recall_curve",
    "binary_prediction_scores",
    "binary_roc_curve",
    "binary_threshold_metrics",
    "build_model_formula",
    "capture_gp3bayes_schema",
    "check_advanced_pupil_prior_predictive",
    "check_binary_posterior_predictive",
    "check_binary_ppc_details",
    "check_binary_prior_predictive",
    "check_cmdstan_backend",
    "check_duration_posterior_predictive",
    "check_duration_ppc_details",
    "check_duration_prior_predictive",
    "check_mediation_convergence",
    "check_model_ppc",
    "check_pupil_posterior_predictive",
    "check_pupil_prior_predictive",
    "collect_model_evidence",
    "compare_analysis_manifests",
    "compare_estimand_sensitivity",
    "compare_gp3bayes_schemas",
    "compare_multilevel_mediation_models",
    "compare_psis_loo",
    "compare_pupil_autocorrelation",
    "compare_pupil_lfo",
    "compare_pupil_models",
    "compare_pupil_sensitivity_estimands",
    "compute_kfold_cv",
    "compute_loo_model_weights",
    "compute_psis_loo",
    "compute_psis_loo_from_log_lik",
    "create_advanced_pupil_prior_specification",
    "create_analysis_bundle",
    "create_analysis_figure_set",
    "create_analysis_manifest",
    "create_binary_model_report",
    "create_brms_sbc_plan",
    "create_complete_evidence_inventory",
    "create_contrast_coding_sensitivity_specification",
    "create_custom_sbc_plan",
    "create_diagnostic_dashboard",
    "create_diagnostic_dashboard_figures",
    "create_duration_model_report",
    "create_duration_unit_sensitivity_specification",
    "create_figure_set",
    "create_group_deletion_sensitivity_plan",
    "create_loo_influence_atlas",
    "create_mediation_prior_specification",
    "create_model_card",
    "create_model_contract",
    "create_model_evidence_report",
    "create_model_specification",
    "create_prediction_contrast_profile",
    "create_prediction_grid",
    "create_prediction_profile",
    "create_prediction_surface",
    "create_predictive_distribution_atlas",
    "create_predictor_scaling_sensitivity_specification",
    "create_prior_specification",
    "create_publication_registry",
    "create_publication_table_set",
    "create_pupil_advanced_sensitivity_suite",
    "create_pupil_arma_spec",
    "create_pupil_contract",
    "create_pupil_gp_spec",
    "create_pupil_lfo_plan",
    "create_pupil_measurement_model",
    "create_pupil_missingness_spec",
    "create_pupil_model_set",
    "create_pupil_sensitivity_suite",
    "create_pupil_validation_plan",
    "create_random_slope_sensitivity_plan",
    "create_reporting_checklist",
    "create_sensitivity_suite_plan",
    "create_transformation_recipe",
    "design_support_table",
    "detect_binary_separation",
    "diagnose_advanced_pupil_fit",
    "diagnose_binary_fit",
    "diagnose_duration_fit",
    "diagnose_model_fit",
    "diagnose_pupil_fit",
    "diagnostic_dashboard_table",
    "duration_pit_table",
    "duration_prediction_scores",
    "duration_qq_table",
    "duration_quantile_calibration",
    "duration_tail_check",
    "estimand_sensitivity_table",
    "estimate_between_indirect_effect",
    "estimate_binocular_pupil_trajectory",
    "estimate_indirect_effect",
    "estimate_model_estimands",
    "estimate_pupil_auc",
    "estimate_pupil_dynamic_contrast",
    "estimate_pupil_peak",
    "estimate_pupil_peak_latency",
    "estimate_pupil_residual_scale",
    "estimate_pupil_response_parameters",
    "estimate_pupil_threshold_duration",
    "estimate_pupil_trajectory",
    "estimate_pupil_trajectory_derivative",
    "estimate_pupil_window",
    "estimate_scr_responsivity_bayes",
    "estimate_standardized_duration_estimands",
    "estimate_standardized_probability_contrast",
    "estimate_within_indirect_effect",
    "evaluate_pathological_simulation",
    "evidence_inventory_table",
    "extract_expected_predictions",
    "extract_linear_predictions",
    "extract_log_likelihood",
    "extract_posterior_draws",
    "extract_posterior_predictions",
    "extract_sampler_diagnostics",
    "fit_advanced_pupil_model",
    "fit_advanced_pupil_model_backend",
    "fit_advanced_pupil_model_cmdstanr",
    "fit_binary_model",
    "fit_binary_model_backend",
    "fit_binary_model_cmdstanr",
    "fit_binocular_pupil_model",
    "fit_duration_model",
    "fit_duration_model_backend",
    "fit_duration_model_cmdstanr",
    "fit_multilevel_gaze_mediation",
    "fit_multilevel_moderated_gaze_mediation",
    "fit_multilevel_serial_gaze_mediation",
    "fit_pupil_model",
    "fit_pupil_model_backend",
    "fit_pupil_model_cmdstanr",
    "fit_pupil_response_shape_model",
    "freeze_analysis_manifest",
    "freeze_gp3bayes_schema",
    "gazepoint_pupil_mapping_table",
    "gp3bayes_specification_traceability",
    "group_deletion_sensitivity_table",
    "group_effect_draws_table",
    "group_effect_rank_probability_table",
    "group_effect_table",
    "group_prediction_summary",
    "grouped_prediction_check",
    "identify_identifier_like_predictors",
    "identify_loo_influential_observations",
    "identify_mcmc_issues",
    "inspect_gazepoint_pupil_schema",
    "interaction_prior_summary",
    "invert_transformation_recipe",
    "loo_diagnostic_table",
    "loo_flagged_data",
    "loo_group_influence_table",
    "loo_influence_atlas_table",
    "loo_influence_summary",
    "loo_pointwise_table",
    "loo_summary_table",
    "manifest_comparison_table",
    "materialize_pupil_advanced_sensitivity_scenario",
    "materialize_pupil_sensitivity_scenario",
    "mcmc_diagnostic_table",
    "missingness_audit_table",
    "model_card_table",
    "model_comparison_table",
    "model_evidence_table",
    "model_weights_table",
    "model_workflow_status",
    "plot_advanced_pupil_simulation",
    "plot_advanced_pupil_trajectory",
    "plot_autocorrelation",
    "plot_backend_environment_gg",
    "plot_backend_parity_gg",
    "plot_binary_calibration",
    "plot_binary_calibration_uncertainty",
    "plot_binary_group_calibration",
    "plot_binary_precision_recall",
    "plot_binary_roc",
    "plot_binary_threshold_metrics",
    "plot_binocular_pupil_trajectory",
    "plot_design_support_gg",
    "plot_diagnostic_dashboard",
    "plot_duration_pit",
    "plot_duration_qq",
    "plot_duration_quantile_calibration",
    "plot_duration_tail",
    "plot_estimand_intervals",
    "plot_estimand_sensitivity_gg",
    "plot_exceedance_probability",
    "plot_group_deletion_sensitivity",
    "plot_group_effect_distribution",
    "plot_group_effect_rank_probability",
    "plot_group_effects",
    "plot_group_predictions",
    "plot_grouped_prediction_check",
    "plot_indirect_effect_distribution",
    "plot_loo_group_elpd",
    "plot_loo_group_influence",
    "plot_loo_influence",
    "plot_loo_influence_rank",
    "plot_loo_pareto_vs_elpd",
    "plot_loo_pointwise_elpd",
    "plot_manifest_comparison_gg",
    "plot_mcmc_quality",
    "plot_mediation_posteriors",
    "plot_missingness_gg",
    "plot_model_comparison",
    "plot_model_evidence_gg",
    "plot_model_weights",
    "plot_participant_mediation_effects",
    "plot_posterior_areas",
    "plot_posterior_correlations",
    "plot_posterior_density",
    "plot_posterior_intervals",
    "plot_posterior_pairs",
    "plot_powerscale_sensitivity_gg",
    "plot_ppc_statistic",
    "plot_prediction_contrast_profile",
    "plot_prediction_draws",
    "plot_prediction_gradient",
    "plot_prediction_interval_width",
    "plot_prediction_intervals",
    "plot_prediction_profile",
    "plot_prediction_rank_probabilities",
    "plot_prediction_score_uncertainty",
    "plot_prediction_support",
    "plot_prediction_surface",
    "plot_prediction_surface_uncertainty",
    "plot_predictive_atlas_statistics",
    "plot_predictive_coverage",
    "plot_predictive_quantile_envelope",
    "plot_predictive_residuals",
    "plot_prior_posterior_contraction",
    "plot_prior_posterior_density",
    "plot_prior_posterior_intervals",
    "plot_prior_posterior_shift",
    "plot_prior_sensitivity",
    "plot_prior_sensitivity_scenarios",
    "plot_pupil_autocorrelation_comparison",
    "plot_pupil_dynamic_contrast",
    "plot_pupil_estimand",
    "plot_pupil_gp_hyperparameters",
    "plot_pupil_identifiability_audit",
    "plot_pupil_lfo",
    "plot_pupil_measurement_audit",
    "plot_pupil_measurement_uncertainty",
    "plot_pupil_missingness",
    "plot_pupil_model_comparison",
    "plot_pupil_model_complexity",
    "plot_pupil_observed_trajectory",
    "plot_pupil_posterior_trajectory",
    "plot_pupil_ppc",
    "plot_pupil_predictive_calibration",
    "plot_pupil_readiness",
    "plot_pupil_residual_acf",
    "plot_pupil_residual_scale",
    "plot_pupil_residual_spectrum",
    "plot_pupil_response_parameters",
    "plot_pupil_sensitivity",
    "plot_pupil_temporal_dependence",
    "plot_pupil_trajectory_derivative",
    "plot_pupil_validation",
    "plot_random_intercept_variance_partition",
    "plot_random_slope_sensitivity",
    "plot_rank_diagnostics",
    "plot_recovery_bias",
    "plot_recovery_coverage",
    "plot_recovery_estimates",
    "plot_recovery_fit_status",
    "plot_recovery_rmse",
    "plot_reporting_checklist",
    "plot_sampler_diagnostics",
    "plot_sampling_diagnostics",
    "plot_sbc_coverage_gg",
    "plot_sbc_ecdf_gg",
    "plot_sbc_rank_gg",
    "plot_sbc_simulated_vs_estimated_gg",
    "plot_schema_comparison_gg",
    "plot_sensitivity_suite_gg",
    "plot_uncertainty_decomposition",
    "plot_variance_components",
    "posterior_conditional_indirect_effect",
    "posterior_correlation_table",
    "posterior_direct_effect",
    "posterior_indirect_effect",
    "posterior_interval_table",
    "posterior_predictive_check_mediation",
    "posterior_predictive_statistic",
    "posterior_predictive_summary_table",
    "posterior_probability_table",
    "posterior_serial_indirect_effect",
    "posterior_total_effect",
    "powerscale_sensitivity_table",
    "powerscale_sequence_for_fit",
    "ppc_statistic_table",
    "predict_advanced_pupil_trajectory",
    "predict_binary_probability",
    "predict_duration",
    "predict_model",
    "predict_pupil_trajectory",
    "prediction_contrast",
    "prediction_contrast_profile_table",
    "prediction_draws_long",
    "prediction_exceedance_probability",
    "prediction_gradient_table",
    "prediction_interval_width",
    "prediction_pairwise_contrasts",
    "prediction_profile_table",
    "prediction_rank_probabilities",
    "prediction_score_uncertainty",
    "prediction_score_uncertainty_table",
    "prediction_support_table",
    "prediction_surface_table",
    "prediction_table",
    "prediction_uncertainty_decomposition",
    "predictive_coverage_table",
    "predictive_distribution_atlas_table",
    "predictive_quantile_envelope",
    "predictive_residuals",
    "preflight_model_specification",
    "prepare_binocular_pupil_timecourse",
    "prepare_hierarchical_binary_data",
    "prepare_hierarchical_duration_data",
    "prepare_pupil_timecourse",
    "prior_posterior_bridge",
    "prior_posterior_distance_table",
    "prior_posterior_draws_long",
    "prior_posterior_summary_table",
    "prior_predictive_check_mediation",
    "prior_sensitivity_scenario_table",
    "prior_sensitivity_table",
    "prior_specification_table",
    "publication_registry_table",
    "pupil_advanced_capabilities",
    "pupil_advanced_compatibility_table",
    "pupil_advanced_mapping_table",
    "pupil_advanced_specification_table",
    "pupil_autocorrelation_table",
    "pupil_binocular_agreement_table",
    "pupil_binocular_correlation",
    "pupil_binocular_difference",
    "pupil_condition_contrast",
    "pupil_distribution_table",
    "pupil_dynamic_contrast_table",
    "pupil_gp_hyperparameters",
    "pupil_gp_table",
    "pupil_identifiability_table",
    "pupil_measurement_audit_table",
    "pupil_measurement_uncertainty_table",
    "pupil_missingness_table",
    "pupil_model_card",
    "pupil_model_card_table",
    "pupil_model_comparison_table",
    "pupil_model_weights",
    "pupil_ppc_table",
    "pupil_readiness_table",
    "pupil_residual_acf",
    "pupil_residual_scale_table",
    "pupil_residual_spectrum",
    "pupil_response_parameter_table",
    "pupil_sensitivity_table",
    "pupil_specification_table",
    "pupil_trajectory_derivative_table",
    "pupil_trajectory_table",
    "pupil_validation_table",
    "random_intercept_variance_partition",
    "random_intercept_variance_partition_table",
    "random_slope_sensitivity_table",
    "read_analysis_manifest",
    "read_gp3bayes_schema",
    "recovery_estimate_table",
    "recovery_fit_status_table",
    "recovery_parameter_table",
    "register_publication_figure",
    "register_publication_table",
    "report_multilevel_gaze_mediation",
    "review_duration_extremes",
    "run_binary_recovery",
    "run_duration_recovery",
    "run_group_deletion_sensitivity",
    "run_random_slope_sensitivity",
    "run_sbc_plan",
    "run_sensitivity_suite",
    "sampler_diagnostic_table",
    "save_figure_set",
    "save_publication_registry_figures",
    "sbc_overview_table",
    "sbc_stats_table",
    "schema_comparison_table",
    "score_pupil_predictions",
    "sensitivity_suite_table",
    "simulate_advanced_pupil_timecourse",
    "simulate_binary_pathology",
    "simulate_binocular_pupil_timecourse",
    "simulate_declared_prior_draws",
    "simulate_duration_pathology",
    "simulate_hierarchical_binary_data",
    "simulate_hierarchical_duration_data",
    "simulate_multilevel_gaze_mediation",
    "simulate_pupil_response_shape",
    "simulate_pupil_timecourse",
    "specify_advanced_pupil_timecourse_model",
    "specify_binary_model",
    "specify_binary_model_with_interaction_prior",
    "specify_binocular_pupil_model",
    "specify_duration_model",
    "specify_duration_model_with_interaction_prior",
    "specify_multilevel_gaze_mediation",
    "specify_multilevel_moderated_gaze_mediation",
    "specify_multilevel_serial_gaze_mediation",
    "specify_pupil_distribution",
    "specify_pupil_response_shape_model",
    "specify_pupil_timecourse_model",
    "summarise_binary_group_variation",
    "summarise_binary_posterior",
    "summarise_condition_balance",
    "summarise_duration_posterior",
    "summarise_estimand_draws",
    "summarise_mcmc_quality",
    "summarise_model_posterior",
    "summarise_multilevel_mediation",
    "summarise_pupil_posterior",
    "summarise_sbc_result",
    "summarise_sensitivity_suite",
    "theme_gp3bayes",
    "translate_advanced_pupil_model_to_brms",
    "translate_binary_model_to_brms",
    "translate_binary_model_with_interaction_prior",
    "translate_binocular_pupil_model_to_brms",
    "translate_duration_model_to_brms",
    "translate_duration_model_with_interaction_prior",
    "translate_pupil_model_to_brms",
    "translate_pupil_response_shape_to_brms",
    "validate_analysis_manifest",
    "validate_backend_environment",
    "validate_gp3bayes_object",
    "validate_gp3bayes_schema",
    "validate_prior_specification",
    "validate_publication_registry",
    "validate_pupil_leave_future_out",
    "validate_pupil_model",
    "validate_transformation_replay",
    "variance_component_table",
    "write_analysis_bundle_report",
    "write_diagnostic_dashboard_report",
    "write_model_card",
    "write_publication_registry",
    "write_reproducibility_report"
  ],
  "_help": [
    {
      "page": "advanced_pupil_trajectory_table",
      "title": "Summarise an advanced pupil trajectory",
      "topics": [
        "advanced_pupil_trajectory_table"
      ]
    },
    {
      "page": "analysis_bundle_table",
      "title": "Analysis-Bundle Status Table",
      "topics": [
        "analysis_bundle_table"
      ]
    },
    {
      "page": "analysis_manifest_table",
      "title": "Summarise Manifest Components",
      "topics": [
        "analysis_manifest_table"
      ]
    },
    {
      "page": "apply_transformation_recipe",
      "title": "Apply a Recorded Transformation Recipe",
      "topics": [
        "apply_transformation_recipe"
      ]
    },
    {
      "page": "as_pupil_prediction_draws",
      "title": "Create a lightweight pupil prediction object from frozen draws",
      "topics": [
        "as_pupil_prediction_draws"
      ]
    },
    {
      "page": "as.data.frame.gp3bayes_pupil_contract",
      "title": "Convert a pupil contract to a transparent table",
      "topics": [
        "as.data.frame.gp3bayes_pupil_contract"
      ]
    },
    {
      "page": "as.data.frame.gp3bayes_pupil_estimand",
      "title": "Convert a pupil estimand to a data frame",
      "topics": [
        "as.data.frame.gp3bayes_pupil_estimand"
      ]
    },
    {
      "page": "assess_binary_prior_sensitivity",
      "title": "Assess Binary Prior Sensitivity",
      "topics": [
        "assess_binary_prior_sensitivity"
      ]
    },
    {
      "page": "assess_duration_prior_sensitivity",
      "title": "Assess Duration Prior Sensitivity",
      "topics": [
        "assess_duration_prior_sensitivity"
      ]
    },
    {
      "page": "assess_powerscaled_sensitivity",
      "title": "Assess Power-Scaled Prior and Likelihood Sensitivity",
      "topics": [
        "assess_powerscaled_sensitivity"
      ]
    },
    {
      "page": "audit_advanced_pupil_identifiability",
      "title": "Audit empirical support for an advanced pupil model specification",
      "topics": [
        "audit_advanced_pupil_identifiability"
      ]
    },
    {
      "page": "audit_backend_parity",
      "title": "Audit Posterior Parity Across rstan and cmdstanr",
      "topics": [
        "audit_backend_parity"
      ]
    },
    {
      "page": "audit_binocular_pupil_readiness",
      "title": "Audit binocular pupil availability and agreement descriptively",
      "topics": [
        "audit_binocular_pupil_readiness"
      ]
    },
    {
      "page": "audit_design_support",
      "title": "Audit Overall Design Support",
      "topics": [
        "audit_design_support"
      ]
    },
    {
      "page": "audit_duration_boundaries",
      "title": "Audit Duration Range and Censoring Boundaries",
      "topics": [
        "audit_duration_boundaries"
      ]
    },
    {
      "page": "audit_duration_unit_invariance",
      "title": "Audit Duration-Unit Invariance",
      "topics": [
        "audit_duration_unit_invariance"
      ]
    },
    {
      "page": "audit_estimand_invariance",
      "title": "Audit Estimand Invariance Against a Declared Tolerance",
      "topics": [
        "audit_estimand_invariance"
      ]
    },
    {
      "page": "audit_fixed_effect_design",
      "title": "Audit the Fixed-Effects Design Matrix",
      "topics": [
        "audit_fixed_effect_design"
      ]
    },
    {
      "page": "audit_missingness_structure",
      "title": "Audit Missingness Structure Before Model Fitting",
      "topics": [
        "audit_missingness_structure"
      ]
    },
    {
      "page": "audit_model_readiness",
      "title": "Audit Data Readiness for an Approved Model Contract",
      "topics": [
        "audit_model_readiness"
      ]
    },
    {
      "page": "audit_model_readiness_strict",
      "title": "Run a Strict Model-Readiness Audit",
      "topics": [
        "audit_model_readiness_strict"
      ]
    },
    {
      "page": "audit_prediction_support",
      "title": "Audit Prediction Support",
      "topics": [
        "audit_prediction_support"
      ]
    },
    {
      "page": "audit_pupil_computational_budget",
      "title": "Audit computational complexity before fitting an advanced pupil model",
      "topics": [
        "audit_pupil_computational_budget"
      ]
    },
    {
      "page": "audit_pupil_measurement_context",
      "title": "Audit pupil measurement and confound context",
      "topics": [
        "audit_pupil_measurement_context"
      ]
    },
    {
      "page": "audit_pupil_measurement_model",
      "title": "Audit a declared measurement model against data",
      "topics": [
        "audit_pupil_measurement_model"
      ]
    },
    {
      "page": "audit_pupil_missingness",
      "title": "Audit missingness in an advanced pupil specification",
      "topics": [
        "audit_pupil_missingness"
      ]
    },
    {
      "page": "audit_pupil_predictive_calibration",
      "title": "Audit posterior predictive calibration on explicit evaluation data",
      "topics": [
        "audit_pupil_predictive_calibration"
      ]
    },
    {
      "page": "audit_pupil_readiness",
      "title": "Audit pupil-timecourse readiness",
      "topics": [
        "audit_pupil_readiness"
      ]
    },
    {
      "page": "audit_pupil_temporal_dependence",
      "title": "Audit empirical temporal dependence before model fitting",
      "topics": [
        "audit_pupil_temporal_dependence"
      ]
    },
    {
      "page": "audit_random_effects_support",
      "title": "Audit Random-Effects Support",
      "topics": [
        "audit_random_effects_support"
      ]
    },
    {
      "page": "backend_capabilities",
      "title": "Report Bayesian Backend Capabilities",
      "topics": [
        "backend_capabilities"
      ]
    },
    {
      "page": "backend_environment_table",
      "title": "Backend-Environment Table",
      "topics": [
        "backend_environment_table"
      ]
    },
    {
      "page": "backend_parity_table",
      "title": "Backend-Parity Table",
      "topics": [
        "backend_parity_table"
      ]
    },
    {
      "page": "bayesian_backend_capabilities",
      "title": "Report Optional Bayesian Backend Capabilities",
      "topics": [
        "bayesian_backend_capabilities"
      ]
    },
    {
      "page": "binary_calibration_error",
      "title": "Binary Calibration Error",
      "topics": [
        "binary_calibration_error"
      ]
    },
    {
      "page": "binary_calibration_table",
      "title": "Binary Calibration Table",
      "topics": [
        "binary_calibration_table"
      ]
    },
    {
      "page": "binary_calibration_uncertainty",
      "title": "Binary Calibration Uncertainty",
      "topics": [
        "binary_calibration_uncertainty"
      ]
    },
    {
      "page": "binary_calibration_uncertainty_table",
      "title": "Binary Calibration-Uncertainty Table",
      "topics": [
        "binary_calibration_uncertainty_table"
      ]
    },
    {
      "page": "binary_confusion_table",
      "title": "Binary Confusion Table",
      "topics": [
        "binary_confusion_table"
      ]
    },
    {
      "page": "binary_group_calibration",
      "title": "Grouped Binary Calibration",
      "topics": [
        "binary_group_calibration"
      ]
    },
    {
      "page": "binary_precision_recall_curve",
      "title": "Binary Precision-Recall Curve",
      "topics": [
        "binary_precision_recall_curve"
      ]
    },
    {
      "page": "binary_prediction_scores",
      "title": "Binary Prediction Scores",
      "topics": [
        "binary_prediction_scores"
      ]
    },
    {
      "page": "binary_roc_curve",
      "title": "Binary ROC Curve",
      "topics": [
        "binary_roc_curve"
      ]
    },
    {
      "page": "binary_threshold_metrics",
      "title": "Binary Threshold-Metric Curve",
      "topics": [
        "binary_threshold_metrics"
      ]
    },
    {
      "page": "build_model_formula",
      "title": "Build an Approved Model Formula",
      "topics": [
        "build_model_formula"
      ]
    },
    {
      "page": "capture_gp3bayes_schema",
      "title": "Capture the Structural Schema of a gp3bayes Object",
      "topics": [
        "capture_gp3bayes_schema"
      ]
    },
    {
      "page": "check_advanced_pupil_prior_predictive",
      "title": "Check advanced pupil priors through prior-only simulation",
      "topics": [
        "check_advanced_pupil_prior_predictive"
      ]
    },
    {
      "page": "check_binary_posterior_predictive",
      "title": "Check Binary Posterior Predictive Behaviour",
      "topics": [
        "check_binary_posterior_predictive"
      ]
    },
    {
      "page": "check_binary_ppc_details",
      "title": "Run Detailed Binary Posterior Predictive Checks",
      "topics": [
        "check_binary_ppc_details"
      ]
    },
    {
      "page": "check_binary_prior_predictive",
      "title": "Check Binary Prior Predictive Behaviour",
      "topics": [
        "check_binary_prior_predictive"
      ]
    },
    {
      "page": "check_cmdstan_backend",
      "title": "Check the CmdStanR Backend",
      "topics": [
        "check_cmdstan_backend"
      ]
    },
    {
      "page": "check_duration_posterior_predictive",
      "title": "Check Duration Posterior Predictive Behaviour",
      "topics": [
        "check_duration_posterior_predictive"
      ]
    },
    {
      "page": "check_duration_ppc_details",
      "title": "Run Detailed Duration Posterior Predictive Checks",
      "topics": [
        "check_duration_ppc_details"
      ]
    },
    {
      "page": "check_duration_prior_predictive",
      "title": "Check Duration Prior Predictive Behaviour",
      "topics": [
        "check_duration_prior_predictive"
      ]
    },
    {
      "page": "check_model_ppc",
      "title": "Check Posterior Predictive Behaviour",
      "topics": [
        "check_model_ppc"
      ]
    },
    {
      "page": "check_pupil_posterior_predictive",
      "title": "Run pupil-specific posterior predictive checks",
      "topics": [
        "check_pupil_posterior_predictive"
      ]
    },
    {
      "page": "check_pupil_prior_predictive",
      "title": "Check the approved pupil priors predictively",
      "topics": [
        "check_pupil_prior_predictive"
      ]
    },
    {
      "page": "collect_model_evidence",
      "title": "Collect Model Evidence Without Declaring Model Adequacy",
      "topics": [
        "collect_model_evidence"
      ]
    },
    {
      "page": "compare_analysis_manifests",
      "title": "Compare Analysis Manifests",
      "topics": [
        "compare_analysis_manifests"
      ]
    },
    {
      "page": "compare_estimand_sensitivity",
      "title": "Compare Estimand Sensitivity Across Alternative Fits",
      "topics": [
        "compare_estimand_sensitivity"
      ]
    },
    {
      "page": "compare_gp3bayes_schemas",
      "title": "Compare gp3bayes Object Schemas",
      "topics": [
        "compare_gp3bayes_schemas"
      ]
    },
    {
      "page": "compare_psis_loo",
      "title": "Compare Models with PSIS-LOO",
      "topics": [
        "compare_psis_loo"
      ]
    },
    {
      "page": "compare_pupil_autocorrelation",
      "title": "Compare residual autocorrelation across fitted advanced models",
      "topics": [
        "compare_pupil_autocorrelation"
      ]
    },
    {
      "page": "compare_pupil_lfo",
      "title": "Compare executed leave-future-out validations",
      "topics": [
        "compare_pupil_lfo"
      ]
    },
    {
      "page": "compare_pupil_models",
      "title": "Compare fitted pupil models predictively",
      "topics": [
        "compare_pupil_models"
      ]
    },
    {
      "page": "compare_pupil_sensitivity_estimands",
      "title": "Compare declared pupil sensitivity estimands",
      "topics": [
        "compare_pupil_sensitivity_estimands"
      ]
    },
    {
      "page": "compute_kfold_cv",
      "title": "Compute Governed Exact K-Fold Cross-Validation",
      "topics": [
        "compute_kfold_cv"
      ]
    },
    {
      "page": "compute_loo_model_weights",
      "title": "Compute LOO Model-Averaging Weights",
      "topics": [
        "compute_loo_model_weights"
      ]
    },
    {
      "page": "compute_psis_loo",
      "title": "Compute PSIS-LOO for a gp3bayes Fit",
      "topics": [
        "compute_psis_loo"
      ]
    },
    {
      "page": "compute_psis_loo_from_log_lik",
      "title": "Compute PSIS-LOO from a Log-Likelihood Matrix",
      "topics": [
        "compute_psis_loo_from_log_lik"
      ]
    },
    {
      "page": "create_advanced_pupil_prior_specification",
      "title": "Create an advanced pupil prior specification",
      "topics": [
        "create_advanced_pupil_prior_specification"
      ]
    },
    {
      "page": "create_analysis_bundle",
      "title": "Create a Structured Post-Fit Analysis Bundle",
      "topics": [
        "create_analysis_bundle"
      ]
    },
    {
      "page": "create_analysis_figure_set",
      "title": "Create Publication Figures from an Analysis Bundle",
      "topics": [
        "create_analysis_figure_set"
      ]
    },
    {
      "page": "create_analysis_manifest",
      "title": "Create an Analysis Manifest",
      "topics": [
        "create_analysis_manifest"
      ]
    },
    {
      "page": "create_binary_model_report",
      "title": "Create a Structured Binary Model Report",
      "topics": [
        "create_binary_model_report"
      ]
    },
    {
      "page": "create_brms_sbc_plan",
      "title": "Create a brms-Based Simulation-Based Calibration Plan",
      "topics": [
        "create_brms_sbc_plan"
      ]
    },
    {
      "page": "create_complete_evidence_inventory",
      "title": "Create a Complete Evidence Inventory",
      "topics": [
        "create_complete_evidence_inventory"
      ]
    },
    {
      "page": "create_contrast_coding_sensitivity_specification",
      "title": "Create a Contrast-Coding Sensitivity Specification",
      "topics": [
        "create_contrast_coding_sensitivity_specification"
      ]
    },
    {
      "page": "create_custom_sbc_plan",
      "title": "Create an Expert Custom SBC Plan",
      "topics": [
        "create_custom_sbc_plan"
      ]
    },
    {
      "page": "create_diagnostic_dashboard",
      "title": "Create a Diagnostic Dashboard Object",
      "topics": [
        "create_diagnostic_dashboard"
      ]
    },
    {
      "page": "create_diagnostic_dashboard_figures",
      "title": "Create Diagnostic Dashboard Figures",
      "topics": [
        "create_diagnostic_dashboard_figures"
      ]
    },
    {
      "page": "create_duration_model_report",
      "title": "Create a Structured Duration Model Report",
      "topics": [
        "create_duration_model_report"
      ]
    },
    {
      "page": "create_duration_unit_sensitivity_specification",
      "title": "Create a Duration-Unit Sensitivity Specification",
      "topics": [
        "create_duration_unit_sensitivity_specification"
      ]
    },
    {
      "page": "create_figure_set",
      "title": "Create a Named Figure Set",
      "topics": [
        "create_figure_set"
      ]
    },
    {
      "page": "create_group_deletion_sensitivity_plan",
      "title": "Create a Group-Deletion Sensitivity Plan",
      "topics": [
        "create_group_deletion_sensitivity_plan"
      ]
    },
    {
      "page": "create_loo_influence_atlas",
      "title": "Create a LOO Influence Atlas",
      "topics": [
        "create_loo_influence_atlas"
      ]
    },
    {
      "page": "create_model_card",
      "title": "Create a gp3bayes Model Card",
      "topics": [
        "create_model_card"
      ]
    },
    {
      "page": "create_model_contract",
      "title": "Create an Approved Bayesian Model Contract",
      "topics": [
        "create_model_contract"
      ]
    },
    {
      "page": "create_model_evidence_report",
      "title": "Create a Model Evidence Report",
      "topics": [
        "create_model_evidence_report"
      ]
    },
    {
      "page": "create_model_specification",
      "title": "Create a Complete Model Specification",
      "topics": [
        "create_model_specification"
      ]
    },
    {
      "page": "create_prediction_contrast_profile",
      "title": "Create a Prediction Contrast Profile",
      "topics": [
        "create_prediction_contrast_profile"
      ]
    },
    {
      "page": "create_prediction_grid",
      "title": "Create a Governed Prediction Grid",
      "topics": [
        "create_prediction_grid"
      ]
    },
    {
      "page": "create_prediction_profile",
      "title": "Create a Numeric Prediction Profile",
      "topics": [
        "create_prediction_profile"
      ]
    },
    {
      "page": "create_prediction_surface",
      "title": "Create a Two-Dimensional Prediction Surface",
      "topics": [
        "create_prediction_surface"
      ]
    },
    {
      "page": "create_predictive_distribution_atlas",
      "title": "Create a Posterior-Predictive Distribution Atlas",
      "topics": [
        "create_predictive_distribution_atlas"
      ]
    },
    {
      "page": "create_predictor_scaling_sensitivity_specification",
      "title": "Create a Predictor-Scaling Sensitivity Specification",
      "topics": [
        "create_predictor_scaling_sensitivity_specification"
      ]
    },
    {
      "page": "create_prior_specification",
      "title": "Create a Backend-Independent Prior Specification",
      "topics": [
        "create_prior_specification"
      ]
    },
    {
      "page": "create_publication_registry",
      "title": "Create a Publication Registry",
      "topics": [
        "create_publication_registry"
      ]
    },
    {
      "page": "create_publication_table_set",
      "title": "Extract Publication Tables from an Analysis Bundle",
      "topics": [
        "create_publication_table_set"
      ]
    },
    {
      "page": "create_pupil_advanced_sensitivity_suite",
      "title": "Create a pre-fit advanced pupillometry sensitivity suite",
      "topics": [
        "create_pupil_advanced_sensitivity_suite"
      ]
    },
    {
      "page": "create_pupil_arma_spec",
      "title": "Create an explicit bounded ARMA configuration",
      "topics": [
        "create_pupil_arma_spec"
      ]
    },
    {
      "page": "create_pupil_contract",
      "title": "Create a governed pupil-timecourse contract",
      "topics": [
        "create_pupil_contract"
      ]
    },
    {
      "page": "create_pupil_gp_spec",
      "title": "Create a Gaussian-process configuration for pupil trajectories",
      "topics": [
        "create_pupil_gp_spec"
      ]
    },
    {
      "page": "create_pupil_lfo_plan",
      "title": "Create an explicit leave-future-out validation plan",
      "topics": [
        "create_pupil_lfo_plan"
      ]
    },
    {
      "page": "create_pupil_measurement_model",
      "title": "Create a governed measurement-uncertainty specification",
      "topics": [
        "create_pupil_measurement_model"
      ]
    },
    {
      "page": "create_pupil_missingness_spec",
      "title": "Create a governed missingness specification",
      "topics": [
        "create_pupil_missingness_spec"
      ]
    },
    {
      "page": "create_pupil_model_set",
      "title": "Create a named set of fitted pupil models",
      "topics": [
        "create_pupil_model_set"
      ]
    },
    {
      "page": "create_pupil_sensitivity_suite",
      "title": "Create a governed pupil sensitivity suite",
      "topics": [
        "create_pupil_sensitivity_suite"
      ]
    },
    {
      "page": "create_pupil_validation_plan",
      "title": "Create an explicit pupil predictive-validation plan",
      "topics": [
        "create_pupil_validation_plan"
      ]
    },
    {
      "page": "create_random_slope_sensitivity_plan",
      "title": "Create a Random-Slope Sensitivity Plan",
      "topics": [
        "create_random_slope_sensitivity_plan"
      ]
    },
    {
      "page": "create_reporting_checklist",
      "title": "Create a Reporting Checklist",
      "topics": [
        "create_reporting_checklist"
      ]
    },
    {
      "page": "create_sensitivity_suite_plan",
      "title": "Create a Sensitivity Suite Plan",
      "topics": [
        "create_sensitivity_suite_plan"
      ]
    },
    {
      "page": "create_transformation_recipe",
      "title": "Create a Reusable Transformation Recipe",
      "topics": [
        "create_transformation_recipe"
      ]
    },
    {
      "page": "design_support_table",
      "title": "Design-Support Table",
      "topics": [
        "design_support_table"
      ]
    },
    {
      "page": "detect_binary_separation",
      "title": "Detect Separation in the Binary Fixed-Effects Screen",
      "topics": [
        "detect_binary_separation"
      ]
    },
    {
      "page": "diagnose_advanced_pupil_fit",
      "title": "Diagnose an advanced pupil fit",
      "topics": [
        "diagnose_advanced_pupil_fit"
      ]
    },
    {
      "page": "diagnose_binary_fit",
      "title": "Diagnose a Fitted Binary Model",
      "topics": [
        "diagnose_binary_fit"
      ]
    },
    {
      "page": "diagnose_duration_fit",
      "title": "Diagnose a Fitted Duration Model",
      "topics": [
        "diagnose_duration_fit"
      ]
    },
    {
      "page": "diagnose_model_fit",
      "title": "Diagnose an Approved gp3bayes Fit",
      "topics": [
        "diagnose_model_fit"
      ]
    },
    {
      "page": "diagnose_pupil_fit",
      "title": "Diagnose temporal and sampling behaviour of a pupil fit",
      "topics": [
        "diagnose_pupil_fit"
      ]
    },
    {
      "page": "diagnostic_dashboard_table",
      "title": "Diagnostic Dashboard Table",
      "topics": [
        "diagnostic_dashboard_table"
      ]
    },
    {
      "page": "duration_pit_table",
      "title": "Duration Probability-Integral-Transform Table",
      "topics": [
        "duration_pit_table"
      ]
    },
    {
      "page": "duration_prediction_scores",
      "title": "Duration Prediction Scores",
      "topics": [
        "duration_prediction_scores"
      ]
    },
    {
      "page": "duration_qq_table",
      "title": "Duration Predictive Q-Q Table",
      "topics": [
        "duration_qq_table"
      ]
    },
    {
      "page": "duration_quantile_calibration",
      "title": "Duration Quantile Calibration",
      "topics": [
        "duration_quantile_calibration"
      ]
    },
    {
      "page": "duration_tail_check",
      "title": "Duration Tail Check",
      "topics": [
        "duration_tail_check"
      ]
    },
    {
      "page": "estimand_sensitivity_table",
      "title": "Estimand Sensitivity Table",
      "topics": [
        "estimand_sensitivity_table"
      ]
    },
    {
      "page": "estimate_binocular_pupil_trajectory",
      "title": "Estimate joint binocular posterior trajectories",
      "topics": [
        "estimate_binocular_pupil_trajectory"
      ]
    },
    {
      "page": "estimate_model_estimands",
      "title": "Estimate the Approved Primary Estimands",
      "topics": [
        "estimate_model_estimands"
      ]
    },
    {
      "page": "estimate_pupil_auc",
      "title": "Estimate area under a declared pupil-response window",
      "topics": [
        "estimate_pupil_auc"
      ]
    },
    {
      "page": "estimate_pupil_dynamic_contrast",
      "title": "Estimate a dynamic posterior contrast between two pupil conditions",
      "topics": [
        "estimate_pupil_dynamic_contrast"
      ]
    },
    {
      "page": "estimate_pupil_peak",
      "title": "Estimate posterior peak pupil response inside a declared window",
      "topics": [
        "estimate_pupil_peak"
      ]
    },
    {
      "page": "estimate_pupil_peak_latency",
      "title": "Estimate posterior peak latency inside a declared window",
      "topics": [
        "estimate_pupil_peak_latency"
      ]
    },
    {
      "page": "estimate_pupil_residual_scale",
      "title": "Estimate the residual-scale trajectory from a distributional model",
      "topics": [
        "estimate_pupil_residual_scale"
      ]
    },
    {
      "page": "estimate_pupil_response_parameters",
      "title": "Estimate nonlinear response-shape parameters",
      "topics": [
        "estimate_pupil_response_parameters"
      ]
    },
    {
      "page": "estimate_pupil_threshold_duration",
      "title": "Estimate posterior duration above a prespecified dynamic threshold",
      "topics": [
        "estimate_pupil_threshold_duration"
      ]
    },
    {
      "page": "estimate_pupil_trajectory",
      "title": "Estimate posterior pupil trajectories",
      "topics": [
        "estimate_pupil_trajectory"
      ]
    },
    {
      "page": "estimate_pupil_trajectory_derivative",
      "title": "Estimate posterior temporal derivatives of a pupil trajectory",
      "topics": [
        "estimate_pupil_trajectory_derivative"
      ]
    },
    {
      "page": "estimate_pupil_window",
      "title": "Estimate a declared-window mean pupil response",
      "topics": [
        "estimate_pupil_window"
      ]
    },
    {
      "page": "estimate_scr_responsivity_bayes",
      "title": "Bayesian retention-first SCR responsivity summary",
      "topics": [
        "estimate_scr_responsivity_bayes"
      ]
    },
    {
      "page": "estimate_standardized_duration_estimands",
      "title": "Estimate Design-Standardised Duration Estimands",
      "topics": [
        "estimate_standardized_duration_estimands"
      ]
    },
    {
      "page": "estimate_standardized_probability_contrast",
      "title": "Estimate a Design-Standardised Binary Probability Contrast",
      "topics": [
        "estimate_standardized_probability_contrast"
      ]
    },
    {
      "page": "evaluate_pathological_simulation",
      "title": "Evaluate a Pathological Simulation Against the Contract Gate",
      "topics": [
        "evaluate_pathological_simulation"
      ]
    },
    {
      "page": "evidence_inventory_table",
      "title": "Evidence Inventory Table",
      "topics": [
        "evidence_inventory_table"
      ]
    },
    {
      "page": "extract_expected_predictions",
      "title": "Extract Expected Posterior Predictions",
      "topics": [
        "extract_expected_predictions"
      ]
    },
    {
      "page": "extract_linear_predictions",
      "title": "Extract Linear-Predictor Draws",
      "topics": [
        "extract_linear_predictions"
      ]
    },
    {
      "page": "extract_log_likelihood",
      "title": "Extract Pointwise Log-Likelihood Draws",
      "topics": [
        "extract_log_likelihood"
      ]
    },
    {
      "page": "extract_posterior_draws",
      "title": "Extract Posterior Draws from a gp3bayes Fit",
      "topics": [
        "extract_posterior_draws"
      ]
    },
    {
      "page": "extract_posterior_predictions",
      "title": "Extract Posterior Predictive Draws",
      "topics": [
        "extract_posterior_predictions"
      ]
    },
    {
      "page": "extract_sampler_diagnostics",
      "title": "Extract NUTS Sampler Diagnostics",
      "topics": [
        "extract_sampler_diagnostics"
      ]
    },
    {
      "page": "fit_advanced_pupil_model",
      "title": "Fit an advanced pupil model using rstan",
      "topics": [
        "fit_advanced_pupil_model"
      ]
    },
    {
      "page": "fit_advanced_pupil_model_backend",
      "title": "Fit an advanced pupil model through an approved brms backend",
      "topics": [
        "fit_advanced_pupil_model_backend"
      ]
    },
    {
      "page": "fit_advanced_pupil_model_cmdstanr",
      "title": "Fit an advanced pupil model using cmdstanr",
      "topics": [
        "fit_advanced_pupil_model_cmdstanr"
      ]
    },
    {
      "page": "fit_binary_model",
      "title": "Fit an Approved Hierarchical Binary Model",
      "topics": [
        "fit_binary_model"
      ]
    },
    {
      "page": "fit_binary_model_backend",
      "title": "Fit a Binary Model with a Selected Full-MCMC Backend",
      "topics": [
        "fit_binary_model_backend",
        "fit_binary_model_cmdstanr"
      ]
    },
    {
      "page": "fit_binocular_pupil_model",
      "title": "Fit a joint binocular pupil model",
      "topics": [
        "fit_binocular_pupil_model"
      ]
    },
    {
      "page": "fit_duration_model",
      "title": "Fit an Approved Hierarchical Lognormal Duration Model",
      "topics": [
        "fit_duration_model"
      ]
    },
    {
      "page": "fit_duration_model_backend",
      "title": "Fit a Duration Model with a Selected Full-MCMC Backend",
      "topics": [
        "fit_duration_model_backend",
        "fit_duration_model_cmdstanr"
      ]
    },
    {
      "page": "fit_pupil_model",
      "title": "Fit a pupil model through the fixed rstan route",
      "topics": [
        "fit_pupil_model"
      ]
    },
    {
      "page": "fit_pupil_model_backend",
      "title": "Fit the restricted pupil time-course model with an approved backend",
      "topics": [
        "fit_pupil_model_backend"
      ]
    },
    {
      "page": "fit_pupil_model_cmdstanr",
      "title": "Fit a pupil model through the fixed cmdstanr route",
      "topics": [
        "fit_pupil_model_cmdstanr"
      ]
    },
    {
      "page": "fit_pupil_response_shape_model",
      "title": "Fit the experimental nonlinear response-shape model",
      "topics": [
        "fit_pupil_response_shape_model"
      ]
    },
    {
      "page": "freeze_analysis_manifest",
      "title": "Freeze an Analysis Manifest",
      "topics": [
        "freeze_analysis_manifest"
      ]
    },
    {
      "page": "freeze_gp3bayes_schema",
      "title": "Freeze a gp3bayes Object Schema",
      "topics": [
        "freeze_gp3bayes_schema"
      ]
    },
    {
      "page": "gazepoint_pupil_mapping_table",
      "title": "Return the Gazepoint pupil mapping audit table",
      "topics": [
        "gazepoint_pupil_mapping_table"
      ]
    },
    {
      "page": "gp3bayes_specification_traceability",
      "title": "Specification-Closure Traceability Matrix",
      "topics": [
        "gp3bayes_specification_traceability"
      ]
    },
    {
      "page": "group_deletion_sensitivity_table",
      "title": "Group-Deletion Sensitivity Table",
      "topics": [
        "group_deletion_sensitivity_table"
      ]
    },
    {
      "page": "group_effect_draws_table",
      "title": "Group-Level Posterior Draw Table",
      "topics": [
        "group_effect_draws_table"
      ]
    },
    {
      "page": "group_effect_rank_probability_table",
      "title": "Group-Level Rank-Probability Table",
      "topics": [
        "group_effect_rank_probability_table"
      ]
    },
    {
      "page": "group_effect_table",
      "title": "Group-Level Effect Table",
      "topics": [
        "group_effect_table"
      ]
    },
    {
      "page": "group_prediction_summary",
      "title": "Group Prediction Summary",
      "topics": [
        "group_prediction_summary"
      ]
    },
    {
      "page": "grouped_prediction_check",
      "title": "Grouped Posterior Predictive Check",
      "topics": [
        "grouped_prediction_check"
      ]
    },
    {
      "page": "identify_identifier_like_predictors",
      "title": "Identify Identifier-Like Numeric Predictors",
      "topics": [
        "identify_identifier_like_predictors"
      ]
    },
    {
      "page": "identify_loo_influential_observations",
      "title": "Identify Influential PSIS-LOO Observations",
      "topics": [
        "identify_loo_influential_observations"
      ]
    },
    {
      "page": "identify_mcmc_issues",
      "title": "Identify MCMC Diagnostic Flags",
      "topics": [
        "identify_mcmc_issues"
      ]
    },
    {
      "page": "inspect_gazepoint_pupil_schema",
      "title": "Inspect verified Gazepoint pupil and gaze fields",
      "topics": [
        "inspect_gazepoint_pupil_schema"
      ]
    },
    {
      "page": "interaction_prior_summary",
      "title": "Summarise Separate Interaction Prior Metadata",
      "topics": [
        "interaction_prior_summary"
      ]
    },
    {
      "page": "invert_transformation_recipe",
      "title": "Invert a Recorded Transformation Recipe",
      "topics": [
        "invert_transformation_recipe"
      ]
    },
    {
      "page": "loo_diagnostic_table",
      "title": "LOO Diagnostic Table",
      "topics": [
        "loo_diagnostic_table"
      ]
    },
    {
      "page": "loo_flagged_data",
      "title": "Flagged LOO Observation Data",
      "topics": [
        "loo_flagged_data"
      ]
    },
    {
      "page": "loo_group_influence_table",
      "title": "Aggregate LOO Influence by a Declared Group",
      "topics": [
        "loo_group_influence_table"
      ]
    },
    {
      "page": "loo_influence_atlas_table",
      "title": "LOO Influence Atlas Table",
      "topics": [
        "loo_influence_atlas_table"
      ]
    },
    {
      "page": "loo_influence_summary",
      "title": "LOO Influence Summary",
      "topics": [
        "loo_influence_summary"
      ]
    },
    {
      "page": "loo_pointwise_table",
      "title": "Pointwise LOO Table",
      "topics": [
        "loo_pointwise_table"
      ]
    },
    {
      "page": "loo_summary_table",
      "title": "LOO Summary Table",
      "topics": [
        "loo_summary_table"
      ]
    },
    {
      "page": "manifest_comparison_table",
      "title": "Manifest-Comparison Table",
      "topics": [
        "manifest_comparison_table"
      ]
    },
    {
      "page": "materialize_pupil_advanced_sensitivity_scenario",
      "title": "Materialize one advanced sensitivity scenario",
      "topics": [
        "materialize_pupil_advanced_sensitivity_scenario"
      ]
    },
    {
      "page": "materialize_pupil_sensitivity_scenario",
      "title": "Materialize one declared pupil sensitivity scenario",
      "topics": [
        "materialize_pupil_sensitivity_scenario"
      ]
    },
    {
      "page": "mcmc_diagnostic_table",
      "title": "Modern MCMC Diagnostic Table",
      "topics": [
        "mcmc_diagnostic_table"
      ]
    },
    {
      "page": "missingness_audit_table",
      "title": "Missingness-Audit Table",
      "topics": [
        "missingness_audit_table"
      ]
    },
    {
      "page": "model_card_table",
      "title": "Model-Card Evidence Table",
      "topics": [
        "model_card_table"
      ]
    },
    {
      "page": "model_comparison_table",
      "title": "LOO Model-Comparison Table",
      "topics": [
        "model_comparison_table"
      ]
    },
    {
      "page": "model_evidence_table",
      "title": "Model-Evidence Table",
      "topics": [
        "model_evidence_table"
      ]
    },
    {
      "page": "model_weights_table",
      "title": "LOO Model-Weight Table",
      "topics": [
        "model_weights_table"
      ]
    },
    {
      "page": "model_workflow_status",
      "title": "Summarise Workflow Stage Completion",
      "topics": [
        "model_workflow_status"
      ]
    },
    {
      "page": "multilevel-gaze-mediation",
      "title": "Bayesian Multilevel Gaze Mediation Workflows",
      "topics": [
        "check_mediation_convergence",
        "compare_multilevel_mediation_models",
        "create_mediation_prior_specification",
        "estimate_between_indirect_effect",
        "estimate_indirect_effect",
        "estimate_within_indirect_effect",
        "fit_multilevel_gaze_mediation",
        "fit_multilevel_moderated_gaze_mediation",
        "fit_multilevel_serial_gaze_mediation",
        "multilevel-gaze-mediation",
        "plot_indirect_effect_distribution",
        "plot_mediation_posteriors",
        "plot_participant_mediation_effects",
        "posterior_conditional_indirect_effect",
        "posterior_direct_effect",
        "posterior_indirect_effect",
        "posterior_predictive_check_mediation",
        "posterior_serial_indirect_effect",
        "posterior_total_effect",
        "prior_predictive_check_mediation",
        "report_multilevel_gaze_mediation",
        "simulate_multilevel_gaze_mediation",
        "specify_multilevel_gaze_mediation",
        "specify_multilevel_moderated_gaze_mediation",
        "specify_multilevel_serial_gaze_mediation",
        "summarise_multilevel_mediation"
      ]
    },
    {
      "page": "plot_advanced_pupil_simulation",
      "title": "Plot simulated advanced pupil trajectories",
      "topics": [
        "plot_advanced_pupil_simulation"
      ]
    },
    {
      "page": "plot_advanced_pupil_trajectory",
      "title": "Plot an advanced posterior pupil trajectory",
      "topics": [
        "plot_advanced_pupil_trajectory"
      ]
    },
    {
      "page": "plot_autocorrelation",
      "title": "Autocorrelation Diagnostic Plot",
      "topics": [
        "plot_autocorrelation"
      ]
    },
    {
      "page": "plot_backend_environment_gg",
      "title": "Plot Backend Environment Checks with ggplot2",
      "topics": [
        "plot_backend_environment_gg"
      ]
    },
    {
      "page": "plot_backend_parity_gg",
      "title": "Plot Backend Parity with ggplot2",
      "topics": [
        "plot_backend_parity_gg"
      ]
    },
    {
      "page": "plot_binary_calibration",
      "title": "Binary Calibration Plot",
      "topics": [
        "plot_binary_calibration"
      ]
    },
    {
      "page": "plot_binary_calibration_uncertainty",
      "title": "Plot Binary Calibration Uncertainty",
      "topics": [
        "plot_binary_calibration_uncertainty"
      ]
    },
    {
      "page": "plot_binary_group_calibration",
      "title": "Grouped Binary Calibration Plot",
      "topics": [
        "plot_binary_group_calibration"
      ]
    },
    {
      "page": "plot_binary_precision_recall",
      "title": "Binary Precision-Recall Plot",
      "topics": [
        "plot_binary_precision_recall"
      ]
    },
    {
      "page": "plot_binary_roc",
      "title": "Binary ROC Plot",
      "topics": [
        "plot_binary_roc"
      ]
    },
    {
      "page": "plot_binary_threshold_metrics",
      "title": "Binary Threshold-Metric Plot",
      "topics": [
        "plot_binary_threshold_metrics"
      ]
    },
    {
      "page": "plot_binocular_pupil_trajectory",
      "title": "Plot binocular posterior trajectories",
      "topics": [
        "plot_binocular_pupil_trajectory"
      ]
    },
    {
      "page": "plot_design_support_gg",
      "title": "Plot Design-Support Components with ggplot2",
      "topics": [
        "plot_design_support_gg"
      ]
    },
    {
      "page": "plot_diagnostic_dashboard",
      "title": "Plot Diagnostic Dashboard Availability",
      "topics": [
        "plot_diagnostic_dashboard"
      ]
    },
    {
      "page": "plot_duration_pit",
      "title": "Duration PIT Plot",
      "topics": [
        "plot_duration_pit"
      ]
    },
    {
      "page": "plot_duration_qq",
      "title": "Duration Predictive Q-Q Plot",
      "topics": [
        "plot_duration_qq"
      ]
    },
    {
      "page": "plot_duration_quantile_calibration",
      "title": "Duration Quantile-Calibration Plot",
      "topics": [
        "plot_duration_quantile_calibration"
      ]
    },
    {
      "page": "plot_duration_tail",
      "title": "Duration Tail-Check Plot",
      "topics": [
        "plot_duration_tail"
      ]
    },
    {
      "page": "plot_estimand_intervals",
      "title": "Estimand Interval Plot",
      "topics": [
        "plot_estimand_intervals"
      ]
    },
    {
      "page": "plot_estimand_sensitivity_gg",
      "title": "Plot Estimand Sensitivity with ggplot2",
      "topics": [
        "plot_estimand_sensitivity_gg"
      ]
    },
    {
      "page": "plot_exceedance_probability",
      "title": "Prediction Exceedance-Probability Plot",
      "topics": [
        "plot_exceedance_probability"
      ]
    },
    {
      "page": "plot_group_deletion_sensitivity",
      "title": "Plot Group-Deletion Sensitivity",
      "topics": [
        "plot_group_deletion_sensitivity"
      ]
    },
    {
      "page": "plot_group_effect_distribution",
      "title": "Plot Group-Effect Posterior Distributions",
      "topics": [
        "plot_group_effect_distribution"
      ]
    },
    {
      "page": "plot_group_effect_rank_probability",
      "title": "Plot Group-Effect Rank Probabilities",
      "topics": [
        "plot_group_effect_rank_probability"
      ]
    },
    {
      "page": "plot_group_effects",
      "title": "Group-Effect Plot",
      "topics": [
        "plot_group_effects"
      ]
    },
    {
      "page": "plot_group_predictions",
      "title": "Group Prediction Plot",
      "topics": [
        "plot_group_predictions"
      ]
    },
    {
      "page": "plot_grouped_prediction_check",
      "title": "Grouped Posterior Predictive Plot",
      "topics": [
        "plot_grouped_prediction_check"
      ]
    },
    {
      "page": "plot_loo_group_elpd",
      "title": "Plot Grouped Pointwise ELPD Contribution",
      "topics": [
        "plot_loo_group_elpd"
      ]
    },
    {
      "page": "plot_loo_group_influence",
      "title": "Plot Grouped LOO Influence",
      "topics": [
        "plot_loo_group_influence"
      ]
    },
    {
      "page": "plot_loo_influence",
      "title": "LOO Influence Plot",
      "topics": [
        "plot_loo_influence"
      ]
    },
    {
      "page": "plot_loo_influence_rank",
      "title": "Plot Ranked LOO Influence",
      "topics": [
        "plot_loo_influence_rank"
      ]
    },
    {
      "page": "plot_loo_pareto_vs_elpd",
      "title": "Plot Pareto-k versus Pointwise ELPD",
      "topics": [
        "plot_loo_pareto_vs_elpd"
      ]
    },
    {
      "page": "plot_loo_pointwise_elpd",
      "title": "Plot Pointwise LOO ELPD",
      "topics": [
        "plot_loo_pointwise_elpd"
      ]
    },
    {
      "page": "plot_manifest_comparison_gg",
      "title": "Plot Manifest Differences with ggplot2",
      "topics": [
        "plot_manifest_comparison_gg"
      ]
    },
    {
      "page": "plot_mcmc_quality",
      "title": "MCMC Review-Flag Plot",
      "topics": [
        "plot_mcmc_quality"
      ]
    },
    {
      "page": "plot_missingness_gg",
      "title": "Plot Missingness Fractions with ggplot2",
      "topics": [
        "plot_missingness_gg"
      ]
    },
    {
      "page": "plot_model_comparison",
      "title": "LOO Model-Comparison Plot",
      "topics": [
        "plot_model_comparison"
      ]
    },
    {
      "page": "plot_model_evidence_gg",
      "title": "Plot Model-Evidence Availability with ggplot2",
      "topics": [
        "plot_model_evidence_gg"
      ]
    },
    {
      "page": "plot_model_weights",
      "title": "LOO Model-Weight Plot",
      "topics": [
        "plot_model_weights"
      ]
    },
    {
      "page": "plot_posterior_areas",
      "title": "Posterior Area Plot",
      "topics": [
        "plot_posterior_areas"
      ]
    },
    {
      "page": "plot_posterior_correlations",
      "title": "Posterior Correlation Plot",
      "topics": [
        "plot_posterior_correlations"
      ]
    },
    {
      "page": "plot_posterior_density",
      "title": "Posterior Density Plot",
      "topics": [
        "plot_posterior_density"
      ]
    },
    {
      "page": "plot_posterior_intervals",
      "title": "Posterior Interval Plot",
      "topics": [
        "plot_posterior_intervals"
      ]
    },
    {
      "page": "plot_posterior_pairs",
      "title": "Posterior Pairs Plot",
      "topics": [
        "plot_posterior_pairs"
      ]
    },
    {
      "page": "plot_powerscale_sensitivity_gg",
      "title": "Plot Power-Scale Sensitivity with ggplot2",
      "topics": [
        "plot_powerscale_sensitivity_gg"
      ]
    },
    {
      "page": "plot_ppc_statistic",
      "title": "Posterior Predictive Statistic Plot",
      "topics": [
        "plot_ppc_statistic"
      ]
    },
    {
      "page": "plot_prediction_contrast_profile",
      "title": "Plot a Prediction Contrast Profile",
      "topics": [
        "plot_prediction_contrast_profile"
      ]
    },
    {
      "page": "plot_prediction_draws",
      "title": "Prediction-Draw Distribution Plot",
      "topics": [
        "plot_prediction_draws"
      ]
    },
    {
      "page": "plot_prediction_gradient",
      "title": "Plot Prediction-Profile Gradients",
      "topics": [
        "plot_prediction_gradient"
      ]
    },
    {
      "page": "plot_prediction_interval_width",
      "title": "Prediction Interval-Width Plot",
      "topics": [
        "plot_prediction_interval_width"
      ]
    },
    {
      "page": "plot_prediction_intervals",
      "title": "Prediction-Interval Plot",
      "topics": [
        "plot_prediction_intervals"
      ]
    },
    {
      "page": "plot_prediction_profile",
      "title": "Plot a Prediction Profile",
      "topics": [
        "plot_prediction_profile"
      ]
    },
    {
      "page": "plot_prediction_rank_probabilities",
      "title": "Prediction Rank-Probability Plot",
      "topics": [
        "plot_prediction_rank_probabilities"
      ]
    },
    {
      "page": "plot_prediction_score_uncertainty",
      "title": "Plot Prediction Score Uncertainty",
      "topics": [
        "plot_prediction_score_uncertainty"
      ]
    },
    {
      "page": "plot_prediction_support",
      "title": "Prediction-Support Plot",
      "topics": [
        "plot_prediction_support"
      ]
    },
    {
      "page": "plot_prediction_surface",
      "title": "Plot a Prediction Surface",
      "topics": [
        "plot_prediction_surface"
      ]
    },
    {
      "page": "plot_prediction_surface_uncertainty",
      "title": "Plot Prediction-Surface Uncertainty",
      "topics": [
        "plot_prediction_surface_uncertainty"
      ]
    },
    {
      "page": "plot_predictive_atlas_statistics",
      "title": "Plot Predictive Atlas Statistics",
      "topics": [
        "plot_predictive_atlas_statistics"
      ]
    },
    {
      "page": "plot_predictive_coverage",
      "title": "Predictive-Coverage Plot",
      "topics": [
        "plot_predictive_coverage"
      ]
    },
    {
      "page": "plot_predictive_quantile_envelope",
      "title": "Plot Posterior-Predictive Quantile Envelope",
      "topics": [
        "plot_predictive_quantile_envelope"
      ]
    },
    {
      "page": "plot_predictive_residuals",
      "title": "Predictive-Residual Plot",
      "topics": [
        "plot_predictive_residuals"
      ]
    },
    {
      "page": "plot_prior_posterior_contraction",
      "title": "Plot Prior-to-Posterior Contraction",
      "topics": [
        "plot_prior_posterior_contraction"
      ]
    },
    {
      "page": "plot_prior_posterior_density",
      "title": "Plot Declared Prior and Posterior Densities",
      "topics": [
        "plot_prior_posterior_density"
      ]
    },
    {
      "page": "plot_prior_posterior_intervals",
      "title": "Plot Prior and Posterior Intervals",
      "topics": [
        "plot_prior_posterior_intervals"
      ]
    },
    {
      "page": "plot_prior_posterior_shift",
      "title": "Plot Prior-to-Posterior Location Shift",
      "topics": [
        "plot_prior_posterior_shift"
      ]
    },
    {
      "page": "plot_prior_sensitivity",
      "title": "Plot Prior-Scale Sensitivity",
      "topics": [
        "plot_prior_sensitivity"
      ]
    },
    {
      "page": "plot_prior_sensitivity_scenarios",
      "title": "Plot Prior-Sensitivity Scenario Maxima",
      "topics": [
        "plot_prior_sensitivity_scenarios"
      ]
    },
    {
      "page": "plot_pupil_autocorrelation_comparison",
      "title": "Plot residual autocorrelation comparison",
      "topics": [
        "plot_pupil_autocorrelation_comparison"
      ]
    },
    {
      "page": "plot_pupil_dynamic_contrast",
      "title": "Plot a dynamic pupil condition contrast",
      "topics": [
        "plot_pupil_dynamic_contrast"
      ]
    },
    {
      "page": "plot_pupil_estimand",
      "title": "Plot declared-window pupil estimands",
      "topics": [
        "plot_pupil_estimand"
      ]
    },
    {
      "page": "plot_pupil_gp_hyperparameters",
      "title": "Plot Gaussian-process hyperparameters",
      "topics": [
        "plot_pupil_gp_hyperparameters"
      ]
    },
    {
      "page": "plot_pupil_identifiability_audit",
      "title": "Plot advanced identifiability/design-support audit",
      "topics": [
        "plot_pupil_identifiability_audit"
      ]
    },
    {
      "page": "plot_pupil_lfo",
      "title": "Plot leave-future-out scores",
      "topics": [
        "plot_pupil_lfo"
      ]
    },
    {
      "page": "plot_pupil_measurement_audit",
      "title": "Plot gaze/PFE and luminance measurement-context evidence",
      "topics": [
        "plot_pupil_measurement_audit"
      ]
    },
    {
      "page": "plot_pupil_measurement_uncertainty",
      "title": "Plot measurement-uncertainty audit",
      "topics": [
        "plot_pupil_measurement_uncertainty"
      ]
    },
    {
      "page": "plot_pupil_missingness",
      "title": "Plot missing-response fraction over time",
      "topics": [
        "plot_pupil_missingness"
      ]
    },
    {
      "page": "plot_pupil_model_comparison",
      "title": "Plot predictive model comparison",
      "topics": [
        "plot_pupil_model_comparison"
      ]
    },
    {
      "page": "plot_pupil_model_complexity",
      "title": "Plot advanced model computational complexity",
      "topics": [
        "plot_pupil_model_complexity"
      ]
    },
    {
      "page": "plot_pupil_observed_trajectory",
      "title": "Plot observed pupil trajectories",
      "topics": [
        "plot_pupil_observed_trajectory"
      ]
    },
    {
      "page": "plot_pupil_posterior_trajectory",
      "title": "Plot posterior pupil trajectories or condition differences",
      "topics": [
        "plot_pupil_posterior_trajectory"
      ]
    },
    {
      "page": "plot_pupil_ppc",
      "title": "Plot pupil posterior-predictive evidence",
      "topics": [
        "plot_pupil_ppc"
      ]
    },
    {
      "page": "plot_pupil_predictive_calibration",
      "title": "Plot posterior predictive calibration",
      "topics": [
        "plot_pupil_predictive_calibration"
      ]
    },
    {
      "page": "plot_pupil_readiness",
      "title": "Plot pupil readiness evidence",
      "topics": [
        "plot_pupil_readiness"
      ]
    },
    {
      "page": "plot_pupil_residual_acf",
      "title": "Plot pupil residual autocorrelation",
      "topics": [
        "plot_pupil_residual_acf"
      ]
    },
    {
      "page": "plot_pupil_residual_scale",
      "title": "Plot posterior residual scale over time",
      "topics": [
        "plot_pupil_residual_scale"
      ]
    },
    {
      "page": "plot_pupil_residual_spectrum",
      "title": "Plot residual spectrum",
      "topics": [
        "plot_pupil_residual_spectrum"
      ]
    },
    {
      "page": "plot_pupil_response_parameters",
      "title": "Plot experimental nonlinear response parameters",
      "topics": [
        "plot_pupil_response_parameters"
      ]
    },
    {
      "page": "plot_pupil_sensitivity",
      "title": "Plot pupil sensitivity scenarios or result comparisons",
      "topics": [
        "plot_pupil_sensitivity"
      ]
    },
    {
      "page": "plot_pupil_temporal_dependence",
      "title": "Plot empirical temporal-dependence audit",
      "topics": [
        "plot_pupil_temporal_dependence"
      ]
    },
    {
      "page": "plot_pupil_trajectory_derivative",
      "title": "Plot posterior pupil trajectory derivative",
      "topics": [
        "plot_pupil_trajectory_derivative"
      ]
    },
    {
      "page": "plot_pupil_validation",
      "title": "Plot pupil validation evidence",
      "topics": [
        "plot_pupil_validation"
      ]
    },
    {
      "page": "plot_random_intercept_variance_partition",
      "title": "Plot Random-Intercept Variance Partition",
      "topics": [
        "plot_random_intercept_variance_partition"
      ]
    },
    {
      "page": "plot_random_slope_sensitivity",
      "title": "Plot Random-Slope Sensitivity",
      "topics": [
        "plot_random_slope_sensitivity"
      ]
    },
    {
      "page": "plot_rank_diagnostics",
      "title": "Rank-Diagnostic Plot",
      "topics": [
        "plot_rank_diagnostics"
      ]
    },
    {
      "page": "plot_recovery_bias",
      "title": "Plot Recovery Standardized Bias",
      "topics": [
        "plot_recovery_bias"
      ]
    },
    {
      "page": "plot_recovery_coverage",
      "title": "Plot Recovery Coverage",
      "topics": [
        "plot_recovery_coverage"
      ]
    },
    {
      "page": "plot_recovery_estimates",
      "title": "Plot Repetition-Level Recovery Estimates",
      "topics": [
        "plot_recovery_estimates"
      ]
    },
    {
      "page": "plot_recovery_fit_status",
      "title": "Plot Recovery Fit Status",
      "topics": [
        "plot_recovery_fit_status"
      ]
    },
    {
      "page": "plot_recovery_rmse",
      "title": "Plot Recovery RMSE",
      "topics": [
        "plot_recovery_rmse"
      ]
    },
    {
      "page": "plot_reporting_checklist",
      "title": "Plot a Reporting Checklist",
      "topics": [
        "plot_reporting_checklist"
      ]
    },
    {
      "page": "plot_sampler_diagnostics",
      "title": "Sampler-Diagnostic Plot",
      "topics": [
        "plot_sampler_diagnostics"
      ]
    },
    {
      "page": "plot_sampling_diagnostics",
      "title": "Plot Sampling Diagnostics",
      "topics": [
        "plot_sampling_diagnostics"
      ]
    },
    {
      "page": "plot_sbc_coverage_gg",
      "title": "SBC Coverage Plot",
      "topics": [
        "plot_sbc_coverage_gg"
      ]
    },
    {
      "page": "plot_sbc_ecdf_gg",
      "title": "SBC ECDF-Difference Plot",
      "topics": [
        "plot_sbc_ecdf_gg"
      ]
    },
    {
      "page": "plot_sbc_rank_gg",
      "title": "SBC Rank-Histogram Plot",
      "topics": [
        "plot_sbc_rank_gg"
      ]
    },
    {
      "page": "plot_sbc_simulated_vs_estimated_gg",
      "title": "SBC Simulated-versus-Estimated Plot",
      "topics": [
        "plot_sbc_simulated_vs_estimated_gg"
      ]
    },
    {
      "page": "plot_schema_comparison_gg",
      "title": "Plot Schema Differences with ggplot2",
      "topics": [
        "plot_schema_comparison_gg"
      ]
    },
    {
      "page": "plot_sensitivity_suite_gg",
      "title": "Plot a Sensitivity Suite with ggplot2",
      "topics": [
        "plot_sensitivity_suite_gg"
      ]
    },
    {
      "page": "plot_uncertainty_decomposition",
      "title": "Prediction-Uncertainty Plot",
      "topics": [
        "plot_uncertainty_decomposition"
      ]
    },
    {
      "page": "plot_variance_components",
      "title": "Variance-Component Plot",
      "topics": [
        "plot_variance_components"
      ]
    },
    {
      "page": "plot.gp3bayes_kfold_cv",
      "title": "Plot Governed Exact K-Fold Results",
      "topics": [
        "plot.gp3bayes_kfold_cv"
      ]
    },
    {
      "page": "plot.gp3bayes_strict_readiness_audit",
      "title": "Plot a Strict Readiness Audit",
      "topics": [
        "plot.gp3bayes_strict_readiness_audit"
      ]
    },
    {
      "page": "posterior_correlation_table",
      "title": "Posterior Correlation Table",
      "topics": [
        "posterior_correlation_table"
      ]
    },
    {
      "page": "posterior_interval_table",
      "title": "Posterior Interval Table",
      "topics": [
        "posterior_interval_table"
      ]
    },
    {
      "page": "posterior_predictive_statistic",
      "title": "Posterior Predictive Statistic Check",
      "topics": [
        "posterior_predictive_statistic"
      ]
    },
    {
      "page": "posterior_predictive_summary_table",
      "title": "Posterior Predictive Summary Table",
      "topics": [
        "posterior_predictive_summary_table"
      ]
    },
    {
      "page": "posterior_probability_table",
      "title": "Posterior Direction and ROPE Probability Table",
      "topics": [
        "posterior_probability_table"
      ]
    },
    {
      "page": "powerscale_sensitivity_table",
      "title": "Power-Scale Sensitivity Table",
      "topics": [
        "powerscale_sensitivity_table"
      ]
    },
    {
      "page": "powerscale_sequence_for_fit",
      "title": "Create a Power-Scaling Sequence",
      "topics": [
        "powerscale_sequence_for_fit"
      ]
    },
    {
      "page": "ppc_statistic_table",
      "title": "Posterior Predictive Statistic Table",
      "topics": [
        "ppc_statistic_table"
      ]
    },
    {
      "page": "predict_advanced_pupil_trajectory",
      "title": "Predict an advanced pupil trajectory",
      "topics": [
        "predict_advanced_pupil_trajectory"
      ]
    },
    {
      "page": "predict_binary_probability",
      "title": "Binary Event-Probability Predictions",
      "topics": [
        "predict_binary_probability"
      ]
    },
    {
      "page": "predict_duration",
      "title": "Duration Predictions",
      "topics": [
        "predict_duration"
      ]
    },
    {
      "page": "predict_model",
      "title": "Posterior Prediction for Approved gp3bayes Models",
      "topics": [
        "predict_model"
      ]
    },
    {
      "page": "predict_pupil_trajectory",
      "title": "Predict governed pupil trajectories",
      "topics": [
        "predict_pupil_trajectory"
      ]
    },
    {
      "page": "prediction_contrast",
      "title": "Posterior Prediction Contrast",
      "topics": [
        "prediction_contrast"
      ]
    },
    {
      "page": "prediction_contrast_profile_table",
      "title": "Prediction Contrast Profile Table",
      "topics": [
        "prediction_contrast_profile_table"
      ]
    },
    {
      "page": "prediction_draws_long",
      "title": "Convert Prediction Draws to Long Form",
      "topics": [
        "prediction_draws_long"
      ]
    },
    {
      "page": "prediction_exceedance_probability",
      "title": "Posterior Exceedance Probabilities",
      "topics": [
        "prediction_exceedance_probability"
      ]
    },
    {
      "page": "prediction_gradient_table",
      "title": "Prediction-Profile Gradient Table",
      "topics": [
        "prediction_gradient_table"
      ]
    },
    {
      "page": "prediction_interval_width",
      "title": "Prediction Interval Width Table",
      "topics": [
        "prediction_interval_width"
      ]
    },
    {
      "page": "prediction_pairwise_contrasts",
      "title": "Pairwise Prediction Contrasts",
      "topics": [
        "prediction_pairwise_contrasts"
      ]
    },
    {
      "page": "prediction_profile_table",
      "title": "Prediction Profile Table",
      "topics": [
        "prediction_profile_table"
      ]
    },
    {
      "page": "prediction_rank_probabilities",
      "title": "Posterior Ranking Probabilities for Prediction Rows",
      "topics": [
        "prediction_rank_probabilities"
      ]
    },
    {
      "page": "prediction_score_uncertainty",
      "title": "Posterior Uncertainty in Prediction Scores",
      "topics": [
        "prediction_score_uncertainty"
      ]
    },
    {
      "page": "prediction_score_uncertainty_table",
      "title": "Prediction Score-Uncertainty Table",
      "topics": [
        "prediction_score_uncertainty_table"
      ]
    },
    {
      "page": "prediction_support_table",
      "title": "Prediction-Support Table",
      "topics": [
        "prediction_support_table"
      ]
    },
    {
      "page": "prediction_surface_table",
      "title": "Prediction Surface Table",
      "topics": [
        "prediction_surface_table"
      ]
    },
    {
      "page": "prediction_table",
      "title": "Prediction Summary Table",
      "topics": [
        "prediction_table"
      ]
    },
    {
      "page": "prediction_uncertainty_decomposition",
      "title": "Decompose Prediction Uncertainty Descriptively",
      "topics": [
        "prediction_uncertainty_decomposition"
      ]
    },
    {
      "page": "predictive_coverage_table",
      "title": "Posterior Predictive Coverage Table",
      "topics": [
        "predictive_coverage_table"
      ]
    },
    {
      "page": "predictive_distribution_atlas_table",
      "title": "Predictive Distribution Atlas Table",
      "topics": [
        "predictive_distribution_atlas_table"
      ]
    },
    {
      "page": "predictive_quantile_envelope",
      "title": "Posterior-Predictive Quantile Envelope",
      "topics": [
        "predictive_quantile_envelope"
      ]
    },
    {
      "page": "predictive_residuals",
      "title": "Posterior Predictive Residuals",
      "topics": [
        "predictive_residuals"
      ]
    },
    {
      "page": "preflight_model_specification",
      "title": "Preflight an Approved Model Specification",
      "topics": [
        "preflight_model_specification"
      ]
    },
    {
      "page": "prepare_binocular_pupil_timecourse",
      "title": "Prepare binocular pupil data without averaging eyes",
      "topics": [
        "prepare_binocular_pupil_timecourse"
      ]
    },
    {
      "page": "prepare_hierarchical_binary_data",
      "title": "Prepare Hierarchical Binary Data",
      "topics": [
        "prepare_hierarchical_binary_data"
      ]
    },
    {
      "page": "prepare_hierarchical_duration_data",
      "title": "Prepare Hierarchical Duration Data",
      "topics": [
        "prepare_hierarchical_duration_data"
      ]
    },
    {
      "page": "prepare_pupil_timecourse",
      "title": "Prepare a pupil time course under explicit transformations",
      "topics": [
        "prepare_pupil_timecourse"
      ]
    },
    {
      "page": "prior_posterior_bridge",
      "title": "Create a Declared-Prior versus Posterior Bridge",
      "topics": [
        "prior_posterior_bridge"
      ]
    },
    {
      "page": "prior_posterior_distance_table",
      "title": "Prior-versus-Posterior Distance Table",
      "topics": [
        "prior_posterior_distance_table"
      ]
    },
    {
      "page": "prior_posterior_draws_long",
      "title": "Long Prior and Posterior Draw Table",
      "topics": [
        "prior_posterior_draws_long"
      ]
    },
    {
      "page": "prior_posterior_summary_table",
      "title": "Prior-versus-Posterior Summary Table",
      "topics": [
        "prior_posterior_summary_table"
      ]
    },
    {
      "page": "prior_sensitivity_scenario_table",
      "title": "Prior Sensitivity Scenario Table",
      "topics": [
        "prior_sensitivity_scenario_table"
      ]
    },
    {
      "page": "prior_sensitivity_table",
      "title": "Prior Sensitivity Table",
      "topics": [
        "prior_sensitivity_table"
      ]
    },
    {
      "page": "prior_specification_table",
      "title": "Prior-Specification Table",
      "topics": [
        "prior_specification_table"
      ]
    },
    {
      "page": "publication_registry_table",
      "title": "Publication Registry Table",
      "topics": [
        "publication_registry_table"
      ]
    },
    {
      "page": "pupil_advanced_capabilities",
      "title": "Report the gp3bayes 0.5 advanced-pupillometry capability boundary",
      "topics": [
        "pupil_advanced_capabilities"
      ]
    },
    {
      "page": "pupil_advanced_compatibility_table",
      "title": "Report governed compatibility rules for 0.5 advanced models",
      "topics": [
        "pupil_advanced_compatibility_table"
      ]
    },
    {
      "page": "pupil_advanced_mapping_table",
      "title": "Inspect the resolved 0.5 pupil column mapping",
      "topics": [
        "pupil_advanced_mapping_table"
      ]
    },
    {
      "page": "pupil_advanced_specification_table",
      "title": "Tabulate an advanced pupil model specification",
      "topics": [
        "pupil_advanced_specification_table"
      ]
    },
    {
      "page": "pupil_autocorrelation_table",
      "title": "Tabulate a temporal-dependence audit",
      "topics": [
        "pupil_autocorrelation_table"
      ]
    },
    {
      "page": "pupil_binocular_agreement_table",
      "title": "Summarise binocular posterior agreement",
      "topics": [
        "pupil_binocular_agreement_table"
      ]
    },
    {
      "page": "pupil_binocular_correlation",
      "title": "Extract posterior residual binocular correlation",
      "topics": [
        "pupil_binocular_correlation"
      ]
    },
    {
      "page": "pupil_binocular_difference",
      "title": "Estimate posterior right-minus-left binocular differences",
      "topics": [
        "pupil_binocular_difference"
      ]
    },
    {
      "page": "pupil_condition_contrast",
      "title": "Estimate a posterior condition-difference trajectory",
      "topics": [
        "pupil_condition_contrast"
      ]
    },
    {
      "page": "pupil_distribution_table",
      "title": "Tabulate a pupil distribution declaration or advanced specification",
      "topics": [
        "pupil_distribution_table"
      ]
    },
    {
      "page": "pupil_dynamic_contrast_table",
      "title": "Tabulate a dynamic pupil contrast",
      "topics": [
        "pupil_dynamic_contrast_table"
      ]
    },
    {
      "page": "pupil_gp_hyperparameters",
      "title": "Extract Gaussian-process hyperparameters",
      "topics": [
        "pupil_gp_hyperparameters"
      ]
    },
    {
      "page": "pupil_gp_table",
      "title": "Tabulate GP hyperparameters",
      "topics": [
        "pupil_gp_table"
      ]
    },
    {
      "page": "pupil_identifiability_table",
      "title": "Tabulate advanced pupil identifiability/design-support audit",
      "topics": [
        "pupil_identifiability_table"
      ]
    },
    {
      "page": "pupil_measurement_audit_table",
      "title": "Extract a pupil measurement-context table",
      "topics": [
        "pupil_measurement_audit_table"
      ]
    },
    {
      "page": "pupil_measurement_uncertainty_table",
      "title": "Summarise measurement uncertainty declared in a model",
      "topics": [
        "pupil_measurement_uncertainty_table"
      ]
    },
    {
      "page": "pupil_missingness_table",
      "title": "Tabulate missingness audit results",
      "topics": [
        "pupil_missingness_table"
      ]
    },
    {
      "page": "pupil_model_card",
      "title": "Build an auditable advanced pupil model card",
      "topics": [
        "pupil_model_card"
      ]
    },
    {
      "page": "pupil_model_card_table",
      "title": "Tabulate a pupil model card",
      "topics": [
        "pupil_model_card_table"
      ]
    },
    {
      "page": "pupil_model_comparison_table",
      "title": "Tabulate model comparison",
      "topics": [
        "pupil_model_comparison_table"
      ]
    },
    {
      "page": "pupil_model_weights",
      "title": "Compute explicit predictive model weights",
      "topics": [
        "pupil_model_weights"
      ]
    },
    {
      "page": "pupil_ppc_table",
      "title": "Extract pupil PPC evidence tables",
      "topics": [
        "pupil_ppc_table"
      ]
    },
    {
      "page": "pupil_readiness_table",
      "title": "Extract pupil readiness tables",
      "topics": [
        "pupil_readiness_table"
      ]
    },
    {
      "page": "pupil_residual_acf",
      "title": "Summarise residual autocorrelation for a pupil fit",
      "topics": [
        "pupil_residual_acf"
      ]
    },
    {
      "page": "pupil_residual_scale_table",
      "title": "Tabulate posterior residual scale",
      "topics": [
        "pupil_residual_scale_table"
      ]
    },
    {
      "page": "pupil_residual_spectrum",
      "title": "Compute a descriptive residual spectrum",
      "topics": [
        "pupil_residual_spectrum"
      ]
    },
    {
      "page": "pupil_response_parameter_table",
      "title": "Tabulate nonlinear response parameters",
      "topics": [
        "pupil_response_parameter_table"
      ]
    },
    {
      "page": "pupil_sensitivity_table",
      "title": "Extract pupil sensitivity scenarios or comparison results",
      "topics": [
        "pupil_sensitivity_table"
      ]
    },
    {
      "page": "pupil_specification_table",
      "title": "Convert a pupil specification to a publication-ready table",
      "topics": [
        "pupil_specification_table"
      ]
    },
    {
      "page": "pupil_trajectory_derivative_table",
      "title": "Tabulate posterior pupil trajectory derivatives",
      "topics": [
        "pupil_trajectory_derivative_table"
      ]
    },
    {
      "page": "pupil_trajectory_table",
      "title": "Convert a pupil trajectory to a table",
      "topics": [
        "pupil_trajectory_table"
      ]
    },
    {
      "page": "pupil_validation_table",
      "title": "Extract a pupil validation table",
      "topics": [
        "pupil_validation_table"
      ]
    },
    {
      "page": "random_intercept_variance_partition",
      "title": "Random-Intercept Latent Variance Partition",
      "topics": [
        "random_intercept_variance_partition"
      ]
    },
    {
      "page": "random_intercept_variance_partition_table",
      "title": "Random-Intercept Variance-Partition Table",
      "topics": [
        "random_intercept_variance_partition_table"
      ]
    },
    {
      "page": "random_slope_sensitivity_table",
      "title": "Random-Slope Sensitivity Table",
      "topics": [
        "random_slope_sensitivity_table"
      ]
    },
    {
      "page": "read_analysis_manifest",
      "title": "Read a Frozen Analysis Manifest",
      "topics": [
        "read_analysis_manifest"
      ]
    },
    {
      "page": "read_gp3bayes_schema",
      "title": "Read a Frozen gp3bayes Object Schema",
      "topics": [
        "read_gp3bayes_schema"
      ]
    },
    {
      "page": "recovery_estimate_table",
      "title": "Recovery Estimate Table",
      "topics": [
        "recovery_estimate_table"
      ]
    },
    {
      "page": "recovery_fit_status_table",
      "title": "Recovery Fit-Status Table",
      "topics": [
        "recovery_fit_status_table"
      ]
    },
    {
      "page": "recovery_parameter_table",
      "title": "Recovery Parameter Summary Table",
      "topics": [
        "recovery_parameter_table"
      ]
    },
    {
      "page": "register_publication_figure",
      "title": "Register a Publication Figure",
      "topics": [
        "register_publication_figure"
      ]
    },
    {
      "page": "register_publication_table",
      "title": "Register a Publication Table",
      "topics": [
        "register_publication_table"
      ]
    },
    {
      "page": "review_duration_extremes",
      "title": "Review Extreme Positive Durations Without Deleting Them",
      "topics": [
        "review_duration_extremes"
      ]
    },
    {
      "page": "run_binary_recovery",
      "title": "Run Binary Parameter Recovery",
      "topics": [
        "run_binary_recovery"
      ]
    },
    {
      "page": "run_duration_recovery",
      "title": "Run Duration Parameter Recovery",
      "topics": [
        "run_duration_recovery"
      ]
    },
    {
      "page": "run_group_deletion_sensitivity",
      "title": "Run a Group-Deletion Sensitivity Plan",
      "topics": [
        "run_group_deletion_sensitivity"
      ]
    },
    {
      "page": "run_random_slope_sensitivity",
      "title": "Run Random-Intercept versus Random-Slope Sensitivity",
      "topics": [
        "run_random_slope_sensitivity"
      ]
    },
    {
      "page": "run_sbc_plan",
      "title": "Run a Simulation-Based Calibration Plan",
      "topics": [
        "run_sbc_plan"
      ]
    },
    {
      "page": "run_sensitivity_suite",
      "title": "Run a Unified Sensitivity Suite",
      "topics": [
        "run_sensitivity_suite"
      ]
    },
    {
      "page": "sampler_diagnostic_table",
      "title": "Summarise NUTS Sampler Diagnostics",
      "topics": [
        "sampler_diagnostic_table"
      ]
    },
    {
      "page": "save_figure_set",
      "title": "Save a Figure Set",
      "topics": [
        "save_figure_set"
      ]
    },
    {
      "page": "save_publication_registry_figures",
      "title": "Save Publication Registry Figures",
      "topics": [
        "save_publication_registry_figures"
      ]
    },
    {
      "page": "sbc_overview_table",
      "title": "SBC Overview Table",
      "topics": [
        "sbc_overview_table"
      ]
    },
    {
      "page": "sbc_stats_table",
      "title": "SBC Statistics Table",
      "topics": [
        "sbc_stats_table"
      ]
    },
    {
      "page": "schema_comparison_table",
      "title": "Schema-Comparison Table",
      "topics": [
        "schema_comparison_table"
      ]
    },
    {
      "page": "score_pupil_predictions",
      "title": "Score posterior predictive draws against observed pupil values",
      "topics": [
        "score_pupil_predictions"
      ]
    },
    {
      "page": "sensitivity_suite_table",
      "title": "Sensitivity-Suite Table",
      "topics": [
        "sensitivity_suite_table"
      ]
    },
    {
      "page": "simulate_advanced_pupil_timecourse",
      "title": "Simulate advanced dynamic pupil time courses",
      "topics": [
        "simulate_advanced_pupil_timecourse"
      ]
    },
    {
      "page": "simulate_binary_pathology",
      "title": "Simulate a Dedicated Binary Pathology Scenario",
      "topics": [
        "simulate_binary_pathology"
      ]
    },
    {
      "page": "simulate_binocular_pupil_timecourse",
      "title": "Simulate joint binocular pupil traces",
      "topics": [
        "simulate_binocular_pupil_timecourse"
      ]
    },
    {
      "page": "simulate_declared_prior_draws",
      "title": "Simulate Marginal Draws from Declared gp3bayes Priors",
      "topics": [
        "simulate_declared_prior_draws"
      ]
    },
    {
      "page": "simulate_duration_pathology",
      "title": "Simulate a Dedicated Duration Pathology Scenario",
      "topics": [
        "simulate_duration_pathology"
      ]
    },
    {
      "page": "simulate_hierarchical_binary_data",
      "title": "Simulate Hierarchical Binary Data",
      "topics": [
        "simulate_hierarchical_binary_data"
      ]
    },
    {
      "page": "simulate_hierarchical_duration_data",
      "title": "Simulate Hierarchical Lognormal Duration Data",
      "topics": [
        "simulate_hierarchical_duration_data"
      ]
    },
    {
      "page": "simulate_pupil_response_shape",
      "title": "Simulate data from the experimental nonlinear response-shape family",
      "topics": [
        "simulate_pupil_response_shape"
      ]
    },
    {
      "page": "simulate_pupil_timecourse",
      "title": "Simulate deterministic hierarchical pupil time courses",
      "topics": [
        "simulate_pupil_timecourse"
      ]
    },
    {
      "page": "specify_advanced_pupil_timecourse_model",
      "title": "Specify an advanced governed pupil time-course model",
      "topics": [
        "specify_advanced_pupil_timecourse_model"
      ]
    },
    {
      "page": "specify_binary_model",
      "title": "Specify a Backend-Independent Binary Model",
      "topics": [
        "specify_binary_model"
      ]
    },
    {
      "page": "specify_binary_model_with_interaction_prior",
      "title": "Specify a Binary Model with a Separate Interaction Prior",
      "topics": [
        "specify_binary_model_with_interaction_prior"
      ]
    },
    {
      "page": "specify_binocular_pupil_model",
      "title": "Specify a joint binocular pupil model",
      "topics": [
        "specify_binocular_pupil_model"
      ]
    },
    {
      "page": "specify_duration_model",
      "title": "Specify a Backend-Independent Duration Model",
      "topics": [
        "specify_duration_model"
      ]
    },
    {
      "page": "specify_duration_model_with_interaction_prior",
      "title": "Specify a Duration Model with a Separate Interaction Prior",
      "topics": [
        "specify_duration_model_with_interaction_prior"
      ]
    },
    {
      "page": "specify_pupil_distribution",
      "title": "Declare an advanced pupil observation distribution",
      "topics": [
        "specify_pupil_distribution"
      ]
    },
    {
      "page": "specify_pupil_response_shape_model",
      "title": "Specify the experimental nonlinear pupil response-shape model",
      "topics": [
        "specify_pupil_response_shape_model"
      ]
    },
    {
      "page": "specify_pupil_timecourse_model",
      "title": "Specify the restricted hierarchical pupil time-course model",
      "topics": [
        "specify_pupil_timecourse_model"
      ]
    },
    {
      "page": "summarise_binary_group_variation",
      "title": "Summarise Binary Outcome Variation Within Groups",
      "topics": [
        "summarise_binary_group_variation"
      ]
    },
    {
      "page": "summarise_binary_posterior",
      "title": "Summarise a Binary Posterior",
      "topics": [
        "summarise_binary_posterior"
      ]
    },
    {
      "page": "summarise_condition_balance",
      "title": "Summarise Overall Condition Balance",
      "topics": [
        "summarise_condition_balance"
      ]
    },
    {
      "page": "summarise_duration_posterior",
      "title": "Summarise a Duration Posterior",
      "topics": [
        "summarise_duration_posterior"
      ]
    },
    {
      "page": "summarise_estimand_draws",
      "title": "Summarise Posterior Estimand Draws",
      "topics": [
        "summarise_estimand_draws"
      ]
    },
    {
      "page": "summarise_mcmc_quality",
      "title": "Summarise MCMC Quality Evidence",
      "topics": [
        "summarise_mcmc_quality"
      ]
    },
    {
      "page": "summarise_model_posterior",
      "title": "Summarise an Approved gp3bayes Posterior",
      "topics": [
        "summarise_model_posterior"
      ]
    },
    {
      "page": "summarise_pupil_posterior",
      "title": "Summarise a fitted pupil posterior",
      "topics": [
        "summarise_pupil_posterior"
      ]
    },
    {
      "page": "summarise_sbc_result",
      "title": "Summarise an SBC Result",
      "topics": [
        "summarise_sbc_result"
      ]
    },
    {
      "page": "summarise_sensitivity_suite",
      "title": "Summarise a Sensitivity Suite",
      "topics": [
        "summarise_sensitivity_suite"
      ]
    },
    {
      "page": "theme_gp3bayes",
      "title": "gp3bayes Publication Theme",
      "topics": [
        "theme_gp3bayes"
      ]
    },
    {
      "page": "translate_advanced_pupil_model_to_brms",
      "title": "Translate an advanced pupil model to brms without fitting",
      "topics": [
        "translate_advanced_pupil_model_to_brms"
      ]
    },
    {
      "page": "translate_binary_model_to_brms",
      "title": "Translate a Binary Model Specification to brms",
      "topics": [
        "translate_binary_model_to_brms"
      ]
    },
    {
      "page": "translate_binary_model_with_interaction_prior",
      "title": "Translate an Advanced Binary Specification to brms",
      "topics": [
        "translate_binary_model_with_interaction_prior"
      ]
    },
    {
      "page": "translate_binocular_pupil_model_to_brms",
      "title": "Translate a binocular specification to a brms multivariate formula",
      "topics": [
        "translate_binocular_pupil_model_to_brms"
      ]
    },
    {
      "page": "translate_duration_model_to_brms",
      "title": "Translate a Duration Model Specification to brms",
      "topics": [
        "translate_duration_model_to_brms"
      ]
    },
    {
      "page": "translate_duration_model_with_interaction_prior",
      "title": "Translate an Advanced Duration Specification to brms",
      "topics": [
        "translate_duration_model_with_interaction_prior"
      ]
    },
    {
      "page": "translate_pupil_model_to_brms",
      "title": "Translate an approved pupil model to brms",
      "topics": [
        "translate_pupil_model_to_brms"
      ]
    },
    {
      "page": "translate_pupil_response_shape_to_brms",
      "title": "Translate the experimental response-shape model to brms",
      "topics": [
        "translate_pupil_response_shape_to_brms"
      ]
    },
    {
      "page": "validate_analysis_manifest",
      "title": "Validate an Analysis Manifest",
      "topics": [
        "validate_analysis_manifest"
      ]
    },
    {
      "page": "validate_backend_environment",
      "title": "Validate a Bayesian Backend Environment",
      "topics": [
        "validate_backend_environment"
      ]
    },
    {
      "page": "validate_gp3bayes_object",
      "title": "Validate a gp3bayes Object",
      "topics": [
        "validate_gp3bayes_object"
      ]
    },
    {
      "page": "validate_gp3bayes_schema",
      "title": "Validate an Object Against a Frozen gp3bayes Schema",
      "topics": [
        "validate_gp3bayes_schema"
      ]
    },
    {
      "page": "validate_prior_specification",
      "title": "Validate a Prior Specification",
      "topics": [
        "validate_prior_specification"
      ]
    },
    {
      "page": "validate_publication_registry",
      "title": "Validate a Publication Registry",
      "topics": [
        "validate_publication_registry"
      ]
    },
    {
      "page": "validate_pupil_leave_future_out",
      "title": "Execute or materialize leave-future-out validation",
      "topics": [
        "validate_pupil_leave_future_out"
      ]
    },
    {
      "page": "validate_pupil_model",
      "title": "Validate a pupil model for an explicit prediction target",
      "topics": [
        "validate_pupil_model"
      ]
    },
    {
      "page": "validate_transformation_replay",
      "title": "Validate Exact Transformation Replay",
      "topics": [
        "validate_transformation_replay"
      ]
    },
    {
      "page": "variance_component_table",
      "title": "Variance-Component Posterior Table",
      "topics": [
        "variance_component_table"
      ]
    },
    {
      "page": "write_analysis_bundle_report",
      "title": "Write an Analysis-Bundle Markdown Report",
      "topics": [
        "write_analysis_bundle_report"
      ]
    },
    {
      "page": "write_diagnostic_dashboard_report",
      "title": "Write a Diagnostic Dashboard Report",
      "topics": [
        "write_diagnostic_dashboard_report"
      ]
    },
    {
      "page": "write_model_card",
      "title": "Write a Model Card",
      "topics": [
        "write_model_card"
      ]
    },
    {
      "page": "write_publication_registry",
      "title": "Write a Publication Registry",
      "topics": [
        "write_publication_registry"
      ]
    },
    {
      "page": "write_reproducibility_report",
      "title": "Write a Reproducibility Report",
      "topics": [
        "write_reproducibility_report"
      ]
    }
  ],
  "_pkglogo": "https://github.com/stefanosbalaskas/gp3bayes/raw/HEAD/man/figures/logo.svg",
  "_readme": "https://github.com/stefanosbalaskas/gp3bayes/raw/HEAD/README.md",
  "_rundeps": [
    "withr"
  ],
  "_vignettes": [
    {
      "source": "release-case-study.Rmd",
      "filename": "release-case-study.html",
      "title": "A Reproducible 0.2.0 Release Case Study",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Purpose",
        "1. Simulate known data",
        "2. Declare the analysis contract",
        "3. Preflight the design",
        "4. Prepare and specify",
        "5. Freeze analysis provenance",
        "6. Optional dual-backend fitting",
        "7. Unified posterior review",
        "8. Cross-backend consistency",
        "9. Evidence and compatibility"
      ],
      "created": "2026-08-10 11:15:45",
      "modified": "2026-08-10 11:15:45",
      "commits": 1
    },
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