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    "as_gazepoint_master",
    "audit_gazepoint_aoi_coding_matrix",
    "audit_gazepoint_aoi_geometry",
    "audit_gazepoint_aoi_margin_sensitivity",
    "audit_gazepoint_aoi_overlap",
    "audit_gazepoint_aoi_window_denominators",
    "audit_gazepoint_condition_quality_imbalance",
    "audit_gazepoint_design_balance",
    "audit_gazepoint_event_sync",
    "audit_gazepoint_exclusion_flow",
    "audit_gazepoint_gaze_signal_quality",
    "audit_gazepoint_master",
    "audit_gazepoint_post_exclusion_balance",
    "audit_gazepoint_pupil_baseline",
    "audit_gazepoint_pupil_drift",
    "audit_gazepoint_pupil_gaps",
    "audit_gazepoint_pupil_imbalance",
    "audit_gazepoint_pupil_overlap_risk",
    "audit_gazepoint_pupil_reliability",
    "audit_gazepoint_stimulus_luminance",
    "baseline_correct_gazepoint_pupil",
    "check_gazepoint_file_pairs",
    "check_gazepoint_model_convergence",
    "check_gazepoint_model_overdispersion",
    "check_gazepoint_model_singularity",
    "check_gazepoint_real_data_readiness",
    "check_sampling_rate",
    "classify_gazepoint_export",
    "compare_gazepoint_nested_models",
    "compute_gazepoint_aoi_transition_matrix",
    "compute_gazepoint_time_varying_transition_matrix",
    "compute_transition_matrix",
    "create_gazepoint_analysis_decision_audit",
    "create_gazepoint_markovchain_object",
    "create_gazepoint_master",
    "create_gazepoint_preprocessing_multiverse",
    "create_gazepoint_preprocessing_registry",
    "create_gazepoint_report",
    "create_gazepoint_reporting_checklist",
    "diagnose_gazepoint_gamm",
    "diagnose_gazepoint_glmm",
    "estimate_gazepoint_divergence_point",
    "export_gazepoint_master_audit",
    "export_gazepoint_model_tables",
    "export_gazepoint_tables",
    "fit_gazepoint_aoi_gamm",
    "fit_gazepoint_aoi_model_sensitivity",
    "fit_gazepoint_aoi_window_glmm",
    "fit_gazepoint_gca",
    "fit_gazepoint_pupil_gamm",
    "fit_gazepoint_pupil_pfe_gamm",
    "fit_gazepoint_pupil_window_lmm",
    "fit_gazepoint_pupil_window_sensitivity",
    "fit_gazepoint_transition_count_nb_sensitivity",
    "flag_gazepoint_pupil",
    "flag_gazepoint_pupil_artifacts",
    "flag_gazepoint_pupil_hampel",
    "flag_tracking_quality",
    "inspect_gazepoint_columns",
    "interpolate_gazepoint_pupil",
    "interpolate_gazepoint_pupil_pchip",
    "plot_gazepoint_aoi_gamm",
    "plot_gazepoint_aoi_transition_matrix",
    "plot_gazepoint_aoi_verification",
    "plot_gazepoint_cluster_results",
    "plot_gazepoint_gca",
    "plot_gazepoint_model_predictions",
    "plot_gazepoint_multiverse_results",
    "plot_gazepoint_pupil_preprocessing",
    "plot_gazepoint_pupil_status",
    "plot_gazepoint_pupil_timecourse",
    "plot_sampling_rate",
    "plot_tracking_quality",
    "plot_transition_heatmap",
    "prepare_gazepoint_aoi_gamm_data",
    "prepare_gazepoint_aoi_glmm_data",
    "prepare_gazepoint_aoi_sequences",
    "prepare_gazepoint_cluster_data",
    "prepare_gazepoint_eyetools_data",
    "prepare_gazepoint_eyetrackingr_data",
    "prepare_gazepoint_fixation_aligned_data",
    "prepare_gazepoint_gazer_data",
    "prepare_gazepoint_gca_data",
    "prepare_gazepoint_hmm_data",
    "prepare_gazepoint_pupil_gamm_data",
    "prepare_gazepoint_pupil_window_model_data",
    "prepare_gazepoint_pupillometryr_data",
    "prepare_gazepoint_semimarkov_data",
    "read_gazepoint",
    "read_gazepoint_folder",
    "read_gazepoint_summary",
    "recalibrate_gazepoint_gaze",
    "recommend_gazepoint_exclusions",
    "run_gazepoint_aoi_multiverse",
    "run_gazepoint_cluster_permutation",
    "run_gazepoint_eyetools_fixation_detection",
    "run_gazepoint_gazer_crosscheck",
    "run_gazepoint_model_leave_one_out",
    "run_gazepoint_pupil_multiverse",
    "run_gazepoint_workflow",
    "save_gazepoint_plots",
    "smooth_gazepoint_pupil",
    "standardise_gazepoint_names",
    "summarise_aoi_samples",
    "summarise_fixations",
    "summarise_gazepoint_aoi",
    "summarise_gazepoint_aoi_entries",
    "summarise_gazepoint_aoi_transitions",
    "summarise_gazepoint_aoi_trial_features",
    "summarise_gazepoint_aoi_windows",
    "summarise_gazepoint_clusters",
    "summarise_gazepoint_emmeans",
    "summarise_gazepoint_fixation_trials",
    "summarise_gazepoint_fixed_effects",
    "summarise_gazepoint_multiverse_results",
    "summarise_gazepoint_pupil",
    "summarise_gazepoint_pupil_trial_features",
    "summarise_gazepoint_pupil_windows",
    "summarise_gazepoint_workflow",
    "summarise_tracking_quality",
    "tidy_gazepoint_model_summary",
    "transform_gazepoint_aoi_empirical_logit",
    "validate_gazepoint_master",
    "write_gazepoint_outputs"
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  "_datasets": [
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      "name": "gazepoint_example_aoi_geometry",
      "title": "Example AOI geometry table",
      "object": "gazepoint_example_aoi_geometry",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
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        "aoi",
        "x_min",
        "y_min",
        "x_max",
        "y_max"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "gazepoint_example_aoi_windows",
      "title": "Example AOI-window summary table",
      "object": "gazepoint_example_aoi_windows",
      "class": [
        "gp3_aoi_window_summary",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "subject",
        "MEDIA_ID",
        "trial_global",
        "condition",
        "window_label",
        "window_start_ms",
        "window_end_ms",
        "n_window_samples",
        "n_target_samples",
        "n_distractor_samples",
        "n_non_aoi_samples",
        "n_missing_aoi_samples",
        "n_other_aoi_samples",
        "n_unique_aoi_states",
        "first_aoi_state",
        "last_aoi_state",
        "n_aoi_samples",
        "n_valid_denominator_samples",
        "target_sample_prop_all",
        "target_sample_prop_valid",
        "target_sample_prop_aoi",
        "distractor_sample_prop_all",
        "valid_denominator_prop",
        "target_aoi_defined",
        "distractor_aoi_defined",
        "aoi_window_status"
      ],
      "rows": 96,
      "table": true,
      "tojson": true
    },
    {
      "name": "gazepoint_example_fixations",
      "title": "Example Gazepoint fixation table",
      "object": "gazepoint_example_fixations",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "USER_FILE",
        "subject",
        "MEDIA_ID",
        "trial_global",
        "condition",
        "FPOGID",
        "FPOGS",
        "FPOGD",
        "FPOGX",
        "FPOGY",
        "FPOGV",
        "AOI"
      ],
      "rows": 261,
      "table": true,
      "tojson": true
    },
    {
      "name": "gazepoint_example_master",
      "title": "Example Gazepoint master table",
      "object": "gazepoint_example_master",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "subject",
        "USER_FILE",
        "MEDIA_ID",
        "trial_global",
        "trial_index",
        "condition",
        "time",
        "TIME",
        "x",
        "y",
        "BPOGX",
        "BPOGY",
        "pupil",
        "LPMM",
        "RPMM",
        "valid",
        "BPOGV",
        "artifact",
        "aoi_current",
        "AOI",
        "is_fixation",
        "is_saccade",
        "event_label",
        "target_x",
        "target_y",
        "is_check_target",
        "screen_width",
        "screen_height"
      ],
      "rows": 984,
      "table": true,
      "tojson": true
    },
    {
      "name": "gazepoint_example_pupil_windows",
      "title": "Example pupil-window summary table",
      "object": "gazepoint_example_pupil_windows",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "subject",
        "MEDIA_ID",
        "trial_global",
        "condition",
        "window_label",
        "window_start_ms",
        "window_end_ms",
        "n_samples",
        "n_valid_pupil",
        "n_missing_pupil",
        "valid_pupil_pct",
        "missing_pupil_pct",
        "mean_pupil",
        "sd_pupil",
        "median_pupil",
        "min_pupil",
        "max_pupil",
        "q25_pupil",
        "q75_pupil",
        "pupil_auc",
        "pupil_time_span_ms",
        "pupil_window_status",
        "pupil_window_pupil_column",
        "pupil_window_time_column",
        "pupil_window_min_valid_samples",
        "pupil_window_include_end"
      ],
      "rows": 96,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "as_gazepoint_master",
      "title": "Convert Gazepoint all-gaze data to a master sample table",
      "topics": [
        "as_gazepoint_master"
      ]
    },
    {
      "page": "audit_gazepoint_aoi_coding_matrix",
      "title": "Audit AOI coding against geometry",
      "topics": [
        "audit_gazepoint_aoi_coding_matrix"
      ]
    },
    {
      "page": "audit_gazepoint_aoi_geometry",
      "title": "Audit AOI geometry definitions",
      "topics": [
        "audit_gazepoint_aoi_geometry"
      ]
    },
    {
      "page": "audit_gazepoint_aoi_margin_sensitivity",
      "title": "Audit AOI margin sensitivity",
      "topics": [
        "audit_gazepoint_aoi_margin_sensitivity"
      ]
    },
    {
      "page": "audit_gazepoint_aoi_overlap",
      "title": "Audit AOI overlap",
      "topics": [
        "audit_gazepoint_aoi_overlap"
      ]
    },
    {
      "page": "audit_gazepoint_aoi_window_denominators",
      "title": "Audit AOI window denominators before binomial modelling",
      "topics": [
        "audit_gazepoint_aoi_window_denominators"
      ]
    },
    {
      "page": "audit_gazepoint_condition_quality_imbalance",
      "title": "Audit condition-level quality imbalance",
      "topics": [
        "audit_gazepoint_condition_quality_imbalance"
      ]
    },
    {
      "page": "audit_gazepoint_design_balance",
      "title": "Audit Gazepoint experimental design balance",
      "topics": [
        "audit_gazepoint_design_balance"
      ]
    },
    {
      "page": "audit_gazepoint_event_sync",
      "title": "Audit Gazepoint event and timing synchronisation",
      "topics": [
        "audit_gazepoint_event_sync"
      ]
    },
    {
      "page": "audit_gazepoint_exclusion_flow",
      "title": "Audit Gazepoint exclusion and retention flow",
      "topics": [
        "audit_gazepoint_exclusion_flow"
      ]
    },
    {
      "page": "audit_gazepoint_gaze_signal_quality",
      "title": "Audit Gazepoint gaze-signal quality",
      "topics": [
        "audit_gazepoint_gaze_signal_quality"
      ]
    },
    {
      "page": "audit_gazepoint_master",
      "title": "Audit a Gazepoint master sample table",
      "topics": [
        "audit_gazepoint_master"
      ]
    },
    {
      "page": "audit_gazepoint_post_exclusion_balance",
      "title": "Audit post-exclusion condition balance",
      "topics": [
        "audit_gazepoint_post_exclusion_balance"
      ]
    },
    {
      "page": "audit_gazepoint_pupil_baseline",
      "title": "Audit Gazepoint pupil baseline quality",
      "topics": [
        "audit_gazepoint_pupil_baseline"
      ]
    },
    {
      "page": "audit_gazepoint_pupil_drift",
      "title": "Audit Gazepoint pupil drift",
      "topics": [
        "audit_gazepoint_pupil_drift"
      ]
    },
    {
      "page": "audit_gazepoint_pupil_gaps",
      "title": "Audit Gazepoint pupil interpolation gaps",
      "topics": [
        "audit_gazepoint_pupil_gaps"
      ]
    },
    {
      "page": "audit_gazepoint_pupil_imbalance",
      "title": "Audit Gazepoint pupil preprocessing imbalance",
      "topics": [
        "audit_gazepoint_pupil_imbalance"
      ]
    },
    {
      "page": "audit_gazepoint_pupil_overlap_risk",
      "title": "Audit Gazepoint pupil-response overlap risk",
      "topics": [
        "audit_gazepoint_pupil_overlap_risk"
      ]
    },
    {
      "page": "audit_gazepoint_pupil_reliability",
      "title": "Audit split-half reliability for Gazepoint pupil outcomes",
      "topics": [
        "audit_gazepoint_pupil_reliability"
      ]
    },
    {
      "page": "audit_gazepoint_stimulus_luminance",
      "title": "Audit stimulus luminance and brightness for Gazepoint studies",
      "topics": [
        "audit_gazepoint_stimulus_luminance"
      ]
    },
    {
      "page": "baseline_correct_gazepoint_pupil",
      "title": "Baseline-correct Gazepoint pupil data",
      "topics": [
        "baseline_correct_gazepoint_pupil"
      ]
    },
    {
      "page": "check_gazepoint_file_pairs",
      "title": "Check Gazepoint all-gaze and fixation file pairs",
      "topics": [
        "check_gazepoint_file_pairs"
      ]
    },
    {
      "page": "check_gazepoint_model_convergence",
      "title": "Check model convergence",
      "topics": [
        "check_gazepoint_model_convergence"
      ]
    },
    {
      "page": "check_gazepoint_model_overdispersion",
      "title": "Check model overdispersion",
      "topics": [
        "check_gazepoint_model_overdispersion"
      ]
    },
    {
      "page": "check_gazepoint_model_singularity",
      "title": "Check model singularity",
      "topics": [
        "check_gazepoint_model_singularity"
      ]
    },
    {
      "page": "check_gazepoint_real_data_readiness",
      "title": "Check real-data readiness before Gazepoint analysis",
      "topics": [
        "check_gazepoint_real_data_readiness"
      ]
    },
    {
      "page": "check_sampling_rate",
      "title": "Check sampling rate by group",
      "topics": [
        "check_sampling_rate"
      ]
    },
    {
      "page": "classify_gazepoint_export",
      "title": "Classify a Gazepoint export",
      "topics": [
        "classify_gazepoint_export"
      ]
    },
    {
      "page": "compare_gazepoint_nested_models",
      "title": "Compare nested Gazepoint models",
      "topics": [
        "compare_gazepoint_nested_models"
      ]
    },
    {
      "page": "compute_gazepoint_aoi_transition_matrix",
      "title": "Compute Gazepoint AOI transition matrices",
      "topics": [
        "compute_gazepoint_aoi_transition_matrix"
      ]
    },
    {
      "page": "compute_gazepoint_time_varying_transition_matrix",
      "title": "Compute time-varying Gazepoint transition matrices",
      "topics": [
        "compute_gazepoint_time_varying_transition_matrix"
      ]
    },
    {
      "page": "compute_transition_matrix",
      "title": "Compute an AOI transition matrix",
      "topics": [
        "compute_transition_matrix"
      ]
    },
    {
      "page": "create_gazepoint_analysis_decision_audit",
      "title": "Create a final Gazepoint analysis-decision audit",
      "topics": [
        "create_gazepoint_analysis_decision_audit"
      ]
    },
    {
      "page": "create_gazepoint_markovchain_object",
      "title": "Create a Gazepoint AOI Markov-chain object",
      "topics": [
        "create_gazepoint_markovchain_object"
      ]
    },
    {
      "page": "create_gazepoint_master",
      "title": "Create a master long-format dataset from Gazepoint all-gaze data",
      "topics": [
        "create_gazepoint_master"
      ]
    },
    {
      "page": "create_gazepoint_preprocessing_multiverse",
      "title": "Create a Gazepoint preprocessing multiverse",
      "topics": [
        "create_gazepoint_preprocessing_multiverse"
      ]
    },
    {
      "page": "create_gazepoint_preprocessing_registry",
      "title": "Create a Gazepoint pupil-preprocessing registry",
      "topics": [
        "create_gazepoint_preprocessing_registry"
      ]
    },
    {
      "page": "create_gazepoint_report",
      "title": "Create a Gazepoint HTML diagnostic report",
      "topics": [
        "create_gazepoint_report"
      ]
    },
    {
      "page": "create_gazepoint_reporting_checklist",
      "title": "Create a Gazepoint reporting checklist",
      "topics": [
        "create_gazepoint_reporting_checklist"
      ]
    },
    {
      "page": "diagnose_gazepoint_gamm",
      "title": "Diagnose GAM and BAM models",
      "topics": [
        "diagnose_gazepoint_gamm"
      ]
    },
    {
      "page": "diagnose_gazepoint_glmm",
      "title": "Diagnose GLMM, LMM, and GLM models",
      "topics": [
        "diagnose_gazepoint_glmm"
      ]
    },
    {
      "page": "estimate_gazepoint_divergence_point",
      "title": "Estimate a bootstrapped divergence point between two Gazepoint time courses",
      "topics": [
        "estimate_gazepoint_divergence_point"
      ]
    },
    {
      "page": "export_gazepoint_master_audit",
      "title": "Export a Gazepoint master table, audit tables, and validation tables",
      "topics": [
        "export_gazepoint_master_audit"
      ]
    },
    {
      "page": "export_gazepoint_model_tables",
      "title": "Export manuscript-ready model tables",
      "topics": [
        "export_gazepoint_model_tables"
      ]
    },
    {
      "page": "export_gazepoint_tables",
      "title": "Export Gazepoint analysis tables to CSV files",
      "topics": [
        "export_gazepoint_tables"
      ]
    },
    {
      "page": "fit_gazepoint_aoi_gamm",
      "title": "Fit AOI time-course GAMMs",
      "topics": [
        "fit_gazepoint_aoi_gamm"
      ]
    },
    {
      "page": "fit_gazepoint_aoi_model_sensitivity",
      "title": "Fit AOI-window model-family sensitivity checks",
      "topics": [
        "fit_gazepoint_aoi_model_sensitivity"
      ]
    },
    {
      "page": "fit_gazepoint_aoi_window_glmm",
      "title": "Fit an AOI-window binomial GLMM",
      "topics": [
        "fit_gazepoint_aoi_window_glmm"
      ]
    },
    {
      "page": "fit_gazepoint_gca",
      "title": "Fit a Gazepoint Growth Curve Analysis mixed model",
      "topics": [
        "fit_gazepoint_gca"
      ]
    },
    {
      "page": "fit_gazepoint_pupil_gamm",
      "title": "Fit a Gazepoint pupil GAMM",
      "topics": [
        "fit_gazepoint_pupil_gamm"
      ]
    },
    {
      "page": "fit_gazepoint_pupil_pfe_gamm",
      "title": "Fit a gaze-position-adjusted pupil GAMM sensitivity model",
      "topics": [
        "fit_gazepoint_pupil_pfe_gamm"
      ]
    },
    {
      "page": "fit_gazepoint_pupil_window_lmm",
      "title": "Fit confirmatory pupil-window linear mixed models",
      "topics": [
        "fit_gazepoint_pupil_window_lmm"
      ]
    },
    {
      "page": "fit_gazepoint_pupil_window_sensitivity",
      "title": "Run sensitivity models for confirmatory pupil-window analyses",
      "topics": [
        "fit_gazepoint_pupil_window_sensitivity"
      ]
    },
    {
      "page": "fit_gazepoint_transition_count_nb_sensitivity",
      "title": "Fit optional negative-binomial transition-count sensitivity models",
      "topics": [
        "fit_gazepoint_transition_count_nb_sensitivity"
      ]
    },
    {
      "page": "flag_gazepoint_pupil",
      "title": "Flag invalid, missing, implausible, and outlying Gazepoint pupil samples",
      "topics": [
        "flag_gazepoint_pupil"
      ]
    },
    {
      "page": "flag_gazepoint_pupil_artifacts",
      "title": "Flag Gazepoint pupil artifacts before interpolation",
      "topics": [
        "flag_gazepoint_pupil_artifacts"
      ]
    },
    {
      "page": "flag_gazepoint_pupil_hampel",
      "title": "Flag pupil artifacts with a Hampel filter",
      "topics": [
        "flag_gazepoint_pupil_hampel"
      ]
    },
    {
      "page": "flag_tracking_quality",
      "title": "Flag low-quality Gazepoint recordings",
      "topics": [
        "flag_tracking_quality"
      ]
    },
    {
      "page": "gazepoint_example_aoi_geometry",
      "title": "Example AOI geometry table",
      "topics": [
        "gazepoint_example_aoi_geometry"
      ]
    },
    {
      "page": "gazepoint_example_aoi_windows",
      "title": "Example AOI-window summary table",
      "topics": [
        "gazepoint_example_aoi_windows"
      ]
    },
    {
      "page": "gazepoint_example_fixations",
      "title": "Example Gazepoint fixation table",
      "topics": [
        "gazepoint_example_fixations"
      ]
    },
    {
      "page": "gazepoint_example_master",
      "title": "Example Gazepoint master table",
      "topics": [
        "gazepoint_example_master"
      ]
    },
    {
      "page": "gazepoint_example_pupil_windows",
      "title": "Example pupil-window summary table",
      "topics": [
        "gazepoint_example_pupil_windows"
      ]
    },
    {
      "page": "inspect_gazepoint_columns",
      "title": "Inspect Gazepoint columns",
      "topics": [
        "inspect_gazepoint_columns"
      ]
    },
    {
      "page": "interpolate_gazepoint_pupil",
      "title": "Interpolate short missing gaps in Gazepoint pupil data",
      "topics": [
        "interpolate_gazepoint_pupil"
      ]
    },
    {
      "page": "interpolate_gazepoint_pupil_pchip",
      "title": "Interpolate Gazepoint pupil data using PCHIP",
      "topics": [
        "interpolate_gazepoint_pupil_pchip"
      ]
    },
    {
      "page": "plot_gazepoint_aoi_gamm",
      "title": "Plot AOI time-course GAMM results",
      "topics": [
        "plot_gazepoint_aoi_gamm"
      ]
    },
    {
      "page": "plot_gazepoint_aoi_transition_matrix",
      "title": "Plot Gazepoint AOI transition matrix",
      "topics": [
        "plot_gazepoint_aoi_transition_matrix"
      ]
    },
    {
      "page": "plot_gazepoint_aoi_verification",
      "title": "Plot AOI geometry for visual verification",
      "topics": [
        "plot_gazepoint_aoi_verification"
      ]
    },
    {
      "page": "plot_gazepoint_cluster_results",
      "title": "Plot cluster-based permutation results",
      "topics": [
        "plot_gazepoint_cluster_results"
      ]
    },
    {
      "page": "plot_gazepoint_gca",
      "title": "Plot observed and fitted Growth Curve Analysis trajectories",
      "topics": [
        "plot_gazepoint_gca"
      ]
    },
    {
      "page": "plot_gazepoint_model_predictions",
      "title": "Plot observed summaries and model-implied predictions",
      "topics": [
        "plot_gazepoint_model_predictions"
      ]
    },
    {
      "page": "plot_gazepoint_multiverse_results",
      "title": "Plot Gazepoint preprocessing multiverse results",
      "topics": [
        "plot_gazepoint_multiverse_results"
      ]
    },
    {
      "page": "plot_gazepoint_pupil_preprocessing",
      "title": "Plot Gazepoint pupil preprocessing for one trial",
      "topics": [
        "plot_gazepoint_pupil_preprocessing"
      ]
    },
    {
      "page": "plot_gazepoint_pupil_status",
      "title": "Plot Gazepoint pupil preprocessing status",
      "topics": [
        "plot_gazepoint_pupil_status"
      ]
    },
    {
      "page": "plot_gazepoint_pupil_timecourse",
      "title": "Plot Gazepoint pupil time course",
      "topics": [
        "plot_gazepoint_pupil_timecourse"
      ]
    },
    {
      "page": "plot_sampling_rate",
      "title": "Plot Gazepoint sampling-rate diagnostics",
      "topics": [
        "plot_sampling_rate"
      ]
    },
    {
      "page": "plot_tracking_quality",
      "title": "Plot Gazepoint tracking-quality diagnostics",
      "topics": [
        "plot_tracking_quality"
      ]
    },
    {
      "page": "plot_transition_heatmap",
      "title": "Plot an AOI transition heatmap",
      "topics": [
        "plot_transition_heatmap"
      ]
    },
    {
      "page": "prepare_gazepoint_aoi_gamm_data",
      "title": "Prepare AOI time-course data for GAMM analysis",
      "topics": [
        "prepare_gazepoint_aoi_gamm_data"
      ]
    },
    {
      "page": "prepare_gazepoint_aoi_glmm_data",
      "title": "Prepare AOI-window data for binomial GLMMs",
      "topics": [
        "prepare_gazepoint_aoi_glmm_data"
      ]
    },
    {
      "page": "prepare_gazepoint_aoi_sequences",
      "title": "Prepare Gazepoint AOI sequences",
      "topics": [
        "prepare_gazepoint_aoi_sequences"
      ]
    },
    {
      "page": "prepare_gazepoint_cluster_data",
      "title": "Prepare time-course data for cluster-based permutation tests",
      "topics": [
        "prepare_gazepoint_cluster_data"
      ]
    },
    {
      "page": "prepare_gazepoint_eyetools_data",
      "title": "Prepare Gazepoint master data for eyetools-style workflows",
      "topics": [
        "prepare_gazepoint_eyetools_data"
      ]
    },
    {
      "page": "prepare_gazepoint_eyetrackingr_data",
      "title": "Prepare Gazepoint master data for eyetrackingR-style workflows",
      "topics": [
        "prepare_gazepoint_eyetrackingr_data"
      ]
    },
    {
      "page": "prepare_gazepoint_fixation_aligned_data",
      "title": "Prepare fixation- or saccade-contingent aligned Gazepoint data",
      "topics": [
        "prepare_gazepoint_fixation_aligned_data"
      ]
    },
    {
      "page": "prepare_gazepoint_gazer_data",
      "title": "Prepare Gazepoint master data for gazer-style workflows",
      "topics": [
        "prepare_gazepoint_gazer_data"
      ]
    },
    {
      "page": "prepare_gazepoint_gca_data",
      "title": "Prepare Gazepoint Growth Curve Analysis data",
      "topics": [
        "prepare_gazepoint_gca_data"
      ]
    },
    {
      "page": "prepare_gazepoint_hmm_data",
      "title": "Prepare Gazepoint AOI/state sequences for HMM-style workflows",
      "topics": [
        "prepare_gazepoint_hmm_data"
      ]
    },
    {
      "page": "prepare_gazepoint_pupil_gamm_data",
      "title": "Prepare Gazepoint pupil GAMM data",
      "topics": [
        "prepare_gazepoint_pupil_gamm_data"
      ]
    },
    {
      "page": "prepare_gazepoint_pupil_window_model_data",
      "title": "Prepare pupil-window data for confirmatory mixed models",
      "topics": [
        "prepare_gazepoint_pupil_window_model_data"
      ]
    },
    {
      "page": "prepare_gazepoint_pupillometryr_data",
      "title": "Prepare Gazepoint master data for pupillometryR-style workflows",
      "topics": [
        "prepare_gazepoint_pupillometryr_data"
      ]
    },
    {
      "page": "prepare_gazepoint_semimarkov_data",
      "title": "Prepare Gazepoint AOI sequences for semi-Markov modelling",
      "topics": [
        "prepare_gazepoint_semimarkov_data"
      ]
    },
    {
      "page": "read_gazepoint",
      "title": "Read a Gazepoint all-gaze or fixation CSV export",
      "topics": [
        "read_gazepoint"
      ]
    },
    {
      "page": "read_gazepoint_folder",
      "title": "Read multiple Gazepoint CSV exports from a folder",
      "topics": [
        "read_gazepoint_folder"
      ]
    },
    {
      "page": "read_gazepoint_summary",
      "title": "Read a Gazepoint Analysis Data Summary export",
      "topics": [
        "read_gazepoint_summary"
      ]
    },
    {
      "page": "recalibrate_gazepoint_gaze",
      "title": "Offline gaze recalibration using known target coordinates",
      "topics": [
        "recalibrate_gazepoint_gaze"
      ]
    },
    {
      "page": "recommend_gazepoint_exclusions",
      "title": "Recommend trial and participant exclusions",
      "topics": [
        "recommend_gazepoint_exclusions"
      ]
    },
    {
      "page": "run_gazepoint_aoi_multiverse",
      "title": "Run a Gazepoint AOI preprocessing multiverse",
      "topics": [
        "run_gazepoint_aoi_multiverse"
      ]
    },
    {
      "page": "run_gazepoint_cluster_permutation",
      "title": "Run paired cluster-based permutation tests",
      "topics": [
        "run_gazepoint_cluster_permutation"
      ]
    },
    {
      "page": "run_gazepoint_eyetools_fixation_detection",
      "title": "Run optional eyetools fixation and saccade detection",
      "topics": [
        "run_gazepoint_eyetools_fixation_detection"
      ]
    },
    {
      "page": "run_gazepoint_gazer_crosscheck",
      "title": "Run an optional gazeR pupil-preprocessing cross-check",
      "topics": [
        "run_gazepoint_gazer_crosscheck"
      ]
    },
    {
      "page": "run_gazepoint_model_leave_one_out",
      "title": "Run leave-one-unit model sensitivity analysis",
      "topics": [
        "run_gazepoint_model_leave_one_out"
      ]
    },
    {
      "page": "run_gazepoint_pupil_multiverse",
      "title": "Run a Gazepoint pupil preprocessing multiverse",
      "topics": [
        "run_gazepoint_pupil_multiverse"
      ]
    },
    {
      "page": "run_gazepoint_workflow",
      "title": "Run a complete Gazepoint analysis workflow",
      "topics": [
        "run_gazepoint_workflow"
      ]
    },
    {
      "page": "save_gazepoint_plots",
      "title": "Save standard Gazepoint diagnostic plots",
      "topics": [
        "save_gazepoint_plots"
      ]
    },
    {
      "page": "smooth_gazepoint_pupil",
      "title": "Smooth Gazepoint pupil data",
      "topics": [
        "smooth_gazepoint_pupil"
      ]
    },
    {
      "page": "standardise_gazepoint_names",
      "title": "Standardise Gazepoint column names",
      "topics": [
        "standardise_gazepoint_names"
      ]
    },
    {
      "page": "summarise_aoi_samples",
      "title": "Summarise sample-level AOI viewing",
      "topics": [
        "summarise_aoi_samples"
      ]
    },
    {
      "page": "summarise_fixations",
      "title": "Summarise fixation-level AOI metrics",
      "topics": [
        "summarise_fixations"
      ]
    },
    {
      "page": "summarise_gazepoint_aoi",
      "title": "Summarise Gazepoint AOI metrics from gaze and fixation exports",
      "topics": [
        "summarise_gazepoint_aoi"
      ]
    },
    {
      "page": "summarise_gazepoint_aoi_entries",
      "title": "Summarise Gazepoint AOI entry episodes",
      "topics": [
        "summarise_gazepoint_aoi_entries"
      ]
    },
    {
      "page": "summarise_gazepoint_aoi_transitions",
      "title": "Summarise Gazepoint AOI transition features",
      "topics": [
        "summarise_gazepoint_aoi_transitions"
      ]
    },
    {
      "page": "summarise_gazepoint_aoi_trial_features",
      "title": "Summarise Gazepoint AOI trial features",
      "topics": [
        "summarise_gazepoint_aoi_trial_features"
      ]
    },
    {
      "page": "summarise_gazepoint_aoi_windows",
      "title": "Summarise Gazepoint AOI samples within predefined time windows",
      "topics": [
        "summarise_gazepoint_aoi_windows"
      ]
    },
    {
      "page": "summarise_gazepoint_clusters",
      "title": "Summarise cluster-based permutation results",
      "topics": [
        "summarise_gazepoint_clusters"
      ]
    },
    {
      "page": "summarise_gazepoint_emmeans",
      "title": "Summarise estimated marginal means and contrasts",
      "topics": [
        "summarise_gazepoint_emmeans"
      ]
    },
    {
      "page": "summarise_gazepoint_fixation_trials",
      "title": "Summarise Gazepoint fixation trial features",
      "topics": [
        "summarise_gazepoint_fixation_trials"
      ]
    },
    {
      "page": "summarise_gazepoint_fixed_effects",
      "title": "Summarise fixed effects from fitted models",
      "topics": [
        "summarise_gazepoint_fixed_effects"
      ]
    },
    {
      "page": "summarise_gazepoint_multiverse_results",
      "title": "Summarise Gazepoint preprocessing multiverse results",
      "topics": [
        "summarise_gazepoint_multiverse_results"
      ]
    },
    {
      "page": "summarise_gazepoint_pupil",
      "title": "Summarise Gazepoint pupil data",
      "topics": [
        "summarise_gazepoint_pupil"
      ]
    },
    {
      "page": "summarise_gazepoint_pupil_trial_features",
      "title": "Summarise Gazepoint pupil trial-level features",
      "topics": [
        "summarise_gazepoint_pupil_trial_features"
      ]
    },
    {
      "page": "summarise_gazepoint_pupil_windows",
      "title": "Summarise Gazepoint pupil responses within time windows",
      "topics": [
        "summarise_gazepoint_pupil_windows"
      ]
    },
    {
      "page": "summarise_gazepoint_workflow",
      "title": "Summarise a Gazepoint workflow result",
      "topics": [
        "summarise_gazepoint_workflow"
      ]
    },
    {
      "page": "summarise_tracking_quality",
      "title": "Summarise Gazepoint tracking quality",
      "topics": [
        "summarise_tracking_quality"
      ]
    },
    {
      "page": "tidy_gazepoint_model_summary",
      "title": "Create a tidy model summary for manuscript tables",
      "topics": [
        "tidy_gazepoint_model_summary"
      ]
    },
    {
      "page": "transform_gazepoint_aoi_empirical_logit",
      "title": "Transform AOI proportions to empirical logits",
      "topics": [
        "transform_gazepoint_aoi_empirical_logit"
      ]
    },
    {
      "page": "validate_gazepoint_master",
      "title": "Validate a Gazepoint master sample table",
      "topics": [
        "validate_gazepoint_master"
      ]
    },
    {
      "page": "write_gazepoint_outputs",
      "title": "Write standard Gazepoint analysis outputs",
      "topics": [
        "write_gazepoint_outputs"
      ]
    }
  ],
  "_readme": "https://github.com/cran/gp3tools/raw/HEAD/README.md",
  "_rundeps": [
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    "bit64",
    "cli",
    "clipr",
    "cpp11",
    "crayon",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "hms",
    "isoband",
    "labeling",
    "lifecycle",
    "magrittr",
    "pillar",
    "pkgconfig",
    "prettyunits",
    "progress",
    "purrr",
    "R6",
    "RColorBrewer",
    "readr",
    "rlang",
    "S7",
    "scales",
    "stringi",
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    "tidyr",
    "tidyselect",
    "tzdb",
    "utf8",
    "vctrs",
    "viridisLite",
    "vroom",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "aoi_workflow.Rmd",
      "filename": "aoi_workflow.html",
      "title": "AOI, fixation, transition, and time-course workflow",
      "engine": "knitr::rmarkdown",
      "headings": [
        "title: \"AOI, fixation, transition, and time-course workflow\"output: rmarkdown::html_vignettevignette: >%\\VignetteIndexEntry",
        "Overview",
        "1. Load example data or import your own exports",
        "2. Validate the master table",
        "3. AOI geometry and coding checks",
        "4. AOI entries and AOI-window summaries",
        "5. AOI-window GLMM",
        "6. AOI, fixation, and transition features",
        "7. Advanced sequence-model preparation",
        "8. AOI time-course GAMM",
        "9. Diagnostics and reporting"
      ],
      "created": "2026-06-29 14:31:08",
      "modified": "2026-06-29 14:31:08",
      "commits": 1
    },
    {
      "source": "pupil_workflow.Rmd",
      "filename": "pupil_workflow.html",
      "title": "Pupil preprocessing and modelling workflow",
      "engine": "knitr::rmarkdown",
      "headings": [
        "title: \"Pupil preprocessing and modelling workflow\"output: rmarkdown::html_vignettevignette: >%\\VignetteIndexEntry",
        "Overview",
        "1. Load example data or import your own exports",
        "2. Validate the master table",
        "3. Light pupil preprocessing branch",
        "4. Conservative artifact-cleaned branch",
        "5. Pupil quality audits",
        "6. Reliability and sensitivity checks",
        "7. Confirmatory pupil-window LMM",
        "8. Pupil time-course models",
        "9. Cluster permutation and divergence point",
        "10. Reporting"
      ],
      "created": "2026-06-29 14:31:08",
      "modified": "2026-06-29 14:31:08",
      "commits": 1
    }
  ],
  "_score": 3,
  "_indexed": true,
  "_nocasepkg": "gp3tools",
  "_universes": [
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