| Add a decision to a Gazepoint analysis decision log | add_gazepoint_decision |
| Align Gazepoint biometric samples to TTL events | align_gazepoint_biometrics_to_ttl |
| Align two Gazepoint streams using matched event markers | align_gazepoint_streams_by_events |
| Align Gazepoint timestamps to an EEG clock | align_gazepoint_to_eeg |
| Analyse AC EDA admittance and susceptance recordings | analyze_gazepoint_ac_susceptance |
| Analyse cardiorespiratory Granger-style directionality | analyze_gazepoint_cardiorespiratory_causality |
| Analyse endosomatic skin-potential recordings | analyze_gazepoint_skin_potential |
| Pseudonymize participant or record identifiers | anonymize_gazepoint_data |
| Assert that required Gazepoint columns are present | assert_gazepoint_columns |
| Assess Gazepoint HRP waveform quality | assess_gazepoint_hrp_waveform_quality |
| Assess sampling irregularity in Gazepoint time series | assess_gazepoint_sampling_irregularity |
| Assign Gazepoint coordinates to areas of interest | assign_gazepoint_aoi |
| Audit beat or IBI sequences | audit_gazepoint_beats |
| Audit missingness in Gazepoint biometric channels | audit_gazepoint_biometric_missingness |
| Audit Gazepoint biometric sampling and timing | audit_gazepoint_biometric_sampling |
| Audit Gazepoint biometric synchronization drift | audit_gazepoint_biometric_sync_drift |
| Audit a Gazepoint biometrics file before analysis | audit_gazepoint_biometrics_file print.gazepoint_biometrics_audit summary.gazepoint_biometrics_audit |
| Audit Gazepoint condition balance | audit_gazepoint_condition_balance |
| Audit Gazepoint dataset structure | audit_gazepoint_dataset_structure |
| Audit distributional drift across sessions or ordered blocks | audit_gazepoint_distributional_drift |
| Audit Gazepoint EDA/GSR artifacts | audit_gazepoint_eda_artifacts |
| Audit Gazepoint engagement-dial signal quality | audit_gazepoint_engagement_dial |
| Audit Gazepoint event coverage | audit_gazepoint_event_coverage |
| Audit Gazepoint experiment design structure | audit_gazepoint_experiment_design |
| Audit a Gazepoint export schema | audit_gazepoint_export_schema |
| Audit Gazepoint GSR/EDA signal quality | audit_gazepoint_gsr_quality |
| Audit likely GSR/EDA units | audit_gazepoint_gsr_units |
| Audit Gazepoint heart-rate signal quality | audit_gazepoint_hr_quality |
| Audit IBI/RR interval quality | audit_gazepoint_ibi_quality |
| Audit external interoperability versions | audit_gazepoint_interoperability_versions |
| Audit Gazepoint pipeline steps | audit_gazepoint_pipeline_steps |
| Audit preregistration checklist consistency | audit_gazepoint_preregistration_consistency |
| Audit pupil-luminance confounding | audit_gazepoint_pupil_luminance |
| Audit gpbiometrics release readiness | audit_gazepoint_release_readiness |
| Audit session comparability across QC metrics | audit_gazepoint_session_comparability |
| Audit Gazepoint biometric signal activity | audit_gazepoint_signal_activity |
| Audit a smoke-test result for private information | audit_gazepoint_smoke_privacy |
| Audit or trim the EDA electrode stabilization period | audit_gazepoint_stabilization_period |
| Audit Gazepoint biometric time resets | audit_gazepoint_time_resets |
| Audit the participant-condition-time grid for cluster-permutation analysis | audit_gazepoint_timecourse_grid |
| Baseline-correct Gazepoint GSR/EDA | baseline_correct_gazepoint_gsr |
| Baseline-correct Gazepoint heart rate | baseline_correct_gazepoint_hr |
| Baseline-correct Gazepoint pupil size | baseline_correct_gazepoint_pupil |
| Build a tidy AOI time course | build_gazepoint_aoi_timecourse |
| Calculate respiration-informed RSA proxy features | calculate_gazepoint_rsa |
| Check a Gazepoint dataset for a BIDS-like layout | check_gazepoint_bids |
| Check Gazepoint biometric columns | check_gazepoint_biometric_columns |
| Check a Gazepoint plot return contract | check_gazepoint_plot_contract |
| Check binary quality of Gazepoint pulse/PPG analysis results | check_gazepoint_ppg_binary_quality |
| Check whether NN intervals are inside a plausible interval | check_gazepoint_pyhrv_interval |
| Chunk Gazepoint biometric data into fixed analysis episodes | chunk_gazepoint_biometrics |
| Classify descriptive Gazepoint EDA response patterns | classify_gazepoint_eda_response_pattern |
| Classify SCRs into FIR, SIR, and TIR latency intervals | classify_gazepoint_scr_intervals |
| Classify signal-quality rows using transparent threshold rules | classify_gazepoint_signal_quality |
| Clean Gazepoint pupil data | clean_gazepoint_pupil |
| Clean Gazepoint pupil signal | clean_gazepoint_pupil_signal |
| Clean RR or IBI intervals using HeartPy-style methods | clean_gazepoint_rr_intervals |
| Combine multiple Gazepoint marker channels PsPM-style | combine_gazepoint_marker_channels_pspm_style |
| Bootstrap condition comparisons for Gazepoint-derived outcomes | compare_gazepoint_conditions_bootstrap |
| Compare Gazepoint export-folder profiles | compare_gazepoint_export_profiles |
| Compare Gazepoint HR and IBI-derived heart rate | compare_gazepoint_hr_ibi_consistency |
| Compare pyHRV-style PSD methods | compare_gazepoint_pyhrv_psd_methods |
| Compare ECG-HRV and PPG-PRV devices for one derived metric | compare_hrv_prv_devices |
| Compute engagement-dial summary indices | compute_gazepoint_engagement_index |
| Compute a simple Haar-style HRV wavelet PSD summary | compute_gazepoint_hrv_wavelet_psd |
| Compute Gazepoint pulse/PPG frequency-domain measures | compute_gazepoint_ppg_frequency_measures |
| Compute HeartPy-style pulse/PPG measures | compute_gazepoint_ppg_measures |
| Compute PPG beat-template similarity | compute_gazepoint_ppg_template_similarity |
| Compute pyHRV-style autoregressive PSD | compute_gazepoint_pyhrv_ar_psd |
| Compute detrended fluctuation analysis | compute_gazepoint_pyhrv_dfa |
| Compute pyHRV-style frequency-domain summary | compute_gazepoint_pyhrv_frequency_domain |
| Compute heart rate from NN intervals | compute_gazepoint_pyhrv_heart_rate |
| Compute pyHRV-style heart-rate parameters | compute_gazepoint_pyhrv_hr_parameters |
| Compute pyHRV-style Lomb PSD | compute_gazepoint_pyhrv_lomb_psd |
| Compute NN interval differences | compute_gazepoint_pyhrv_nn_diff |
| Compute NN20 and pNN20 | compute_gazepoint_pyhrv_nn20 |
| Compute NN50 and pNN50 | compute_gazepoint_pyhrv_nn50 |
| Compute pyHRV-style NNI difference parameters | compute_gazepoint_pyhrv_nni_differences_parameters |
| Compute pyHRV-style NNI parameters | compute_gazepoint_pyhrv_nni_parameters |
| Compute NNxx and pNNxx | compute_gazepoint_pyhrv_nnxx |
| Compute pyHRV-style nonlinear summary | compute_gazepoint_pyhrv_nonlinear |
| Compute pyHRV-style Poincare measures | compute_gazepoint_pyhrv_poincare |
| Compute pyHRV-style PSD waterfall over segments | compute_gazepoint_pyhrv_psd_waterfall |
| Compute RMSSD | compute_gazepoint_pyhrv_rmssd |
| Compute sample entropy | compute_gazepoint_pyhrv_sample_entropy |
| Compute SDANN | compute_gazepoint_pyhrv_sdann |
| Compute SDNN | compute_gazepoint_pyhrv_sdnn |
| Compute SDNN index | compute_gazepoint_pyhrv_sdnn_index |
| Compute SDSD | compute_gazepoint_pyhrv_sdsd |
| Compute pyHRV-style time-domain summary | compute_gazepoint_pyhrv_time_domain |
| Compute TINN | compute_gazepoint_pyhrv_tinn |
| Compute triangular index | compute_gazepoint_pyhrv_triangular_index |
| Compute pyHRV-style Welch PSD | compute_gazepoint_pyhrv_welch_psd |
| Compute a heuristic QC quality index | compute_gazepoint_quality_index |
| Compute SCR habituation across trials | compute_gazepoint_scr_habituation |
| Compute SCR latency metrics from event-locked EDA | compute_gazepoint_scr_latency |
| Compute signal band power | compute_gazepoint_signal_band_power |
| Compute correlation between two Gazepoint signals | compute_gazepoint_signal_correlation |
| Compute a pairwise signal-lag matrix | compute_gazepoint_signal_lag_matrix |
| Compute phase-locking value between two signals | compute_gazepoint_signal_phase_locking |
| Compute signal power spectrum | compute_gazepoint_signal_power_spectrum |
| Compute transparent signal-quality indicators | compute_gazepoint_signal_quality |
| Convert Gazepoint GSR resistance to conductance | convert_gazepoint_gsr_to_conductance |
| Apply conservative rule-based IBI corrections | correct_gazepoint_beats |
| Correct EDA for ambient or body temperature | correct_gazepoint_eda_temperature |
| Apply Hampel-style correction to raw pulse/PPG data | correct_gazepoint_ppg_hampel |
| Correct local RRI/IBI artifacts | correct_gazepoint_rri_artifacts_local |
| Create a Gazepoint analysis decision log | create_gazepoint_analysis_decision_log |
| Create a Gazepoint analysis manifest | create_gazepoint_analysis_manifest |
| Create a Gazepoint audit index | create_gazepoint_audit_index |
| Create a Gazepoint audit-report section | create_gazepoint_audit_report_section |
| Create a Gazepoint Biometrics reporting checklist | create_gazepoint_biometrics_checklist |
| Create a gpbiometrics feature inventory | create_gazepoint_biometrics_feature_inventory |
| Create Gazepoint Biometrics methods text | create_gazepoint_biometrics_methods_text |
| Create a Gazepoint Biometrics report | create_gazepoint_biometrics_report |
| Create Gazepoint Biometrics report tables | create_gazepoint_biometrics_report_tables |
| Create a simple Gazepoint data dictionary | create_gazepoint_dictionary |
| Create a Gazepoint EDA analysis pipeline guide | create_gazepoint_eda_analysis_pipeline |
| Create reproducible Gazepoint eye-tracking methods text | create_gazepoint_eye_methods_text |
| Create HeartPy-style report tables for Gazepoint pulse/PPG data | create_gazepoint_heartpy_report |
| Create a compact Gazepoint methods section | create_gazepoint_methods_section |
| Create a Gazepoint pipeline map | create_gazepoint_pipeline_map |
| Create a Gazepoint preregistration checklist | create_gazepoint_preregistration_checklist |
| Create a Gazepoint biometrics preregistration template | create_gazepoint_preregistration_template |
| Create PsPM-style convolution GLM design matrix | create_gazepoint_pspm_glm_design |
| Create a time vector from NN intervals | create_gazepoint_pyhrv_time_vector |
| Create a Gazepoint quality-control supplement section | create_gazepoint_qc_supplement |
| Create a compact Gazepoint quality dashboard object | create_gazepoint_quality_dashboard |
| Create a gpbiometrics release checklist | create_gazepoint_release_checklist |
| Create a Gazepoint reproducibility statement | create_gazepoint_reproducibility_statement |
| Create a Gazepoint sidecar metadata template | create_gazepoint_sidecar_template |
| Create Gazepoint trial-level regressors for modeling | create_gazepoint_trial_regressors |
| Decompose Gazepoint GSR/EDA into tonic and phasic components | decompose_gazepoint_eda |
| Denoise EDA using a user-supplied autoencoder reconstruction model | denoise_gazepoint_eda_autoencoder |
| Denoise EDA using dependency-light Haar wavelet shrinkage | denoise_gazepoint_eda_wavelet |
| Denoise PPG using a user-supplied autoencoder reconstruction model | denoise_gazepoint_ppg_autoencoder |
| Add small uniform noise to reduce quantization overlap | denoise_gazepoint_quantization_noise |
| Detect active Gazepoint biometric channels | detect_active_biometric_channels |
| Detect the schema of Gazepoint biometric data | detect_gazepoint_biometric_schema |
| Detect the likely timebase of Gazepoint biometric data | detect_gazepoint_biometric_timebase |
| Detect likely blink or pupil-dropout samples | detect_gazepoint_blinks |
| Detect stochastic change points in noisy biometric signals | detect_gazepoint_doubly_stochastic_changepoints |
| Detect fixations and saccades in Gazepoint gaze samples | detect_gazepoint_fixations |
| Detect long signal-dropout intervals | detect_gazepoint_nonwear |
| Detect BioSPPy-style PPG pulse onsets | detect_gazepoint_ppg_onsets |
| Detect HeartPy-style pulse/PPG peaks in Gazepoint exports | detect_gazepoint_ppg_peaks |
| Detect blink intervals from Gazepoint pupil data | detect_gazepoint_pupil_blinks |
| Detect saccades in Gazepoint gaze samples | detect_gazepoint_saccades |
| Detect SCR-like events in Gazepoint GSR/EDA data | detect_gazepoint_scr_events |
| Detect Gazepoint SCR peaks | detect_gazepoint_scr_peaks |
| Detect Gazepoint biometric time columns | detect_gazepoint_time_columns |
| Detrend RRI/IBI intervals in windows | detrend_gazepoint_rri_window |
| Detrend a Gazepoint signal | detrend_gazepoint_signal |
| Diagnose a Gazepoint Biometrics workflow | diagnose_gazepoint_biometrics_workflow |
| Diagnose whether a design is suitable for cluster-permutation analysis | diagnose_gazepoint_cluster_design |
| Diagnose synchronization drift between two time bases | diagnose_gazepoint_sync_drift |
| Downsample Gazepoint time-series data | downsample_gazepoint_data |
| Enhance pulse/PPG peaks using repeated local baseline removal | enhance_gazepoint_ppg_peaks |
| Epoch Gazepoint SCR/EDA data around events | epoch_gazepoint_scr |
| Estimate breathing rate from RR/IBI frequency content | estimate_gazepoint_breathing_rate_from_ibi |
| Guardrail against exact cluster-offset estimation | estimate_gazepoint_cluster_offset |
| Guardrail against exact cluster-onset estimation | estimate_gazepoint_cluster_onset |
| Estimate BioSPPy-style EDA recovery times | estimate_gazepoint_eda_recovery_times |
| Estimate live LSL clock offsets through pylsl | estimate_gazepoint_lsl_clock_offsets |
| Estimate respiration rate from PPG | estimate_gazepoint_respiration_from_ppg |
| Estimate sampling rate from datetime stamps | estimate_gazepoint_samplerate_datetime |
| Estimate sampling rate from a millisecond timer | estimate_gazepoint_samplerate_mstimer |
| Estimate lag between two Gazepoint biometric signals | estimate_gazepoint_signal_lag |
| Export a Gazepoint audit trail as Markdown | export_gazepoint_audit_trail_markdown |
| Export a Gazepoint biometrics report bundle | export_gazepoint_biometrics_report_bundle |
| Export cluster-permutation result components | export_gazepoint_cluster_results |
| Export Gazepoint pulse/PPG data for HeartPy-style workflows | export_gazepoint_heartpy_input |
| Export time-course data for MNE cluster-permutation workflows | export_gazepoint_mne_cluster_input |
| Export time-course data for permuco cluster workflows | export_gazepoint_permuco_cluster_input |
| Export time-course data for permutes cluster workflows | export_gazepoint_permutes_cluster_input |
| Export a Gazepoint pipeline map as DOT text | export_gazepoint_pipeline_dot |
| Export PsPM-style Gazepoint model estimates | export_gazepoint_pspm_model_estimates |
| Export pyHRV-style results | export_gazepoint_pyhrv_results |
| Export Gazepoint IBI data for RHRV-style workflows | export_gazepoint_rhrv_input |
| Export Gazepoint eye-tracking data to BIDS | export_gazepoint_to_bids |
| Extract heartbeat candidates from Gazepoint pulse using k-means | extract_gazepoint_beats_kmeans |
| Extract bilateral EDA asymmetry features | extract_gazepoint_bilateral_eda_asymmetry |
| Extract EDA complexity features | extract_gazepoint_eda_complexity |
| Extract BioSPPy-style EDA events from Gazepoint GSR/EDA data | extract_gazepoint_eda_events_biosppy_style |
| Extract frequency-domain EDA spectral power | extract_gazepoint_eda_spectral_power |
| Extract time-varying spectral EDA features | extract_gazepoint_eda_tvsymp |
| Extract ECG-derived respiration using PCA | extract_gazepoint_edr_pca |
| Extract heart-rate asymmetry features | extract_gazepoint_hrv_asymmetry |
| Extract time-domain HRV features from Gazepoint IBI intervals | extract_gazepoint_hrv_features |
| Extract heart-rate fragmentation features | extract_gazepoint_hrv_fragmentation |
| Extract FuzzyEn and Lorenz-plot CSI HRV features | extract_gazepoint_hrv_fuzzy_csi |
| Extract geometric HRV features | extract_gazepoint_hrv_geometric |
| Extract nonlinear HRV features from IBI/RR intervals | extract_gazepoint_hrv_nonlinear |
| Extract refined composite multiscale entropy from HRV intervals | extract_gazepoint_hrv_rcmse |
| Extract HRV recurrence quantification analysis features | extract_gazepoint_hrv_rqa |
| Extract PsPM-style marker information from Gazepoint biometrics data | extract_gazepoint_markerinfo_pspm_style |
| Extract PPG-derived respiration proxy signals | extract_gazepoint_pdr_signals |
| Extract simple PPG pulse morphology metrics | extract_gazepoint_ppg_morphology |
| Extract BioSPPy-style PPG pulse templates | extract_gazepoint_ppg_templates |
| Extract NN intervals from peak timestamps | extract_gazepoint_pyhrv_nn_intervals |
| Extract respiration proxy using a CEEMDAN-style bridge | extract_gazepoint_respiration_ceemdan |
| Extract SCR recovery times | extract_gazepoint_scr_recovery_times |
| Extract event-centred Gazepoint segments PsPM-style | extract_gazepoint_segments_pspm_style |
| Extract Gazepoint TTL marker events | extract_gazepoint_ttl_events |
| Filter implausible Gazepoint gaze samples | filter_gazepoint_gaze |
| Filter implausible Gazepoint IBI values | filter_gazepoint_ibi_implausible |
| Apply a second-order Butterworth-style low-pass filter to pulse/PPG data | filter_gazepoint_ppg_butterworth |
| Apply generic filtering to Gazepoint pulse/PPG data | filter_gazepoint_ppg_signal |
| Apply lightweight preprocessing to signal columns | filter_gazepoint_signal |
| Fit PsPM-style event-related convolution GLM | fit_gazepoint_convolution_glm |
| Flag EDA artifacts with a user-supplied SVM-style model | flag_gazepoint_artifacts_svm |
| Flag biometric dropouts and flatline periods | flag_gazepoint_biometric_dropouts |
| Flag HRV/RR segments for quality review | flag_gazepoint_hrv_segments |
| Flag MAD-based EDA wearable artifacts | flag_gazepoint_mad_artifacts |
| Flag segment-level PPG quality | flag_gazepoint_ppg_quality |
| Flag outlying Gazepoint RR/IBI intervals | flag_gazepoint_rr_outliers |
| Flag EDA artifacts using transparent Kleckner-style heuristics | flag_kleckner_eda_artifacts |
| Flip a Gazepoint pulse/PPG signal | flip_gazepoint_ppg_signal |
| Format the gpbiometrics feature inventory for users | format_gazepoint_biometrics_feature_inventory |
| Fuse respiration proxies using a Kalman filter | fuse_gazepoint_respiration_kalman |
| Define gpbiometrics interoperability targets | gazepoint_interoperability_manifest |
| Generate a reproducibility manifest | generate_gazepoint_manifest |
| Extract stored plot data | get_gazepoint_plot_data |
| Extract stored plot settings | get_gazepoint_plot_settings |
| Print gpbiometrics reproducibility information | gpbiometrics_info |
| Import a folder of Gazepoint Biometrics exports | import_gazepoint_biometric_folder |
| Import a Gazepoint Biometrics export | import_gazepoint_biometrics |
| Import Gazepoint export files from a session folder | import_gazepoint_data |
| Import a Gazepoint Data Summary export | import_gazepoint_data_summary |
| Import a generic Gazepoint-compatible event log | import_gazepoint_event_log |
| Import Gazepoint-related streams from an LSL/XDF file | import_gazepoint_lsl_xdf |
| Import pyHRV-style results | import_gazepoint_pyhrv_results |
| Impute missing values in Gazepoint signals | impute_gazepoint_missing |
| Interpolate Gazepoint pupil blink/dropout spans | interpolate_gazepoint_pupil_blinks |
| Join Gazepoint Biometrics data to gp3tools-style eye-tracking data | join_gazepoint_biometrics_to_gp3tools |
| Join Gazepoint Biometrics to a master table | join_gazepoint_biometrics_to_master |
| Match events to biometric windows | match_gazepoint_events_to_biometrics |
| Merge multiple Gazepoint recordings PsPM-style | merge_gazepoint_recordings_pspm_style |
| Model EDA events as a dependency-light point process | model_gazepoint_eda_point_process |
| Model heartbeats as a dependency-light point process | model_gazepoint_hr_point_process |
| Model heartbeat timing using an IPFM-style impulse train | model_gazepoint_hrv_ipfm |
| Normalize Gazepoint SCR amplitudes | normalize_gazepoint_scr |
| Optimise subject-specific cvxEDA slow time constant | optimize_gazepoint_cvxeda_tau |
| Build a multimodal physiology validation ladder | physiology_validation_ladder |
| Create a static Gazepoint pipeline comparison dashboard | pipeline_comparison_dashboard |
| Plot AOI-linked biometric summaries | plot_gazepoint_aoi_biometrics |
| Plot Gazepoint biometric quality indicators | plot_gazepoint_biometric_quality |
| Create a lightweight Gazepoint biometric QC plot dashboard | plot_gazepoint_biometric_report_dashboard |
| Plot Gazepoint biometric signal time series | plot_gazepoint_biometric_signals |
| Plot the cluster-permutation null distribution | plot_gazepoint_cluster_null_distribution |
| Plot Gazepoint cluster permutation results | plot_gazepoint_cluster_permutation |
| Plot Gazepoint design and event-coverage audits | plot_gazepoint_design_coverage |
| Plot Gazepoint EDA decomposition channels | plot_gazepoint_eda_decomposition |
| Plot an EDA-gram-style time-frequency representation | plot_gazepoint_eda_gram |
| Plot a Gazepoint export-folder profile | plot_gazepoint_export_profile |
| Plot missingness across Gazepoint signal columns | plot_gazepoint_missingness |
| Plot multimodal Gazepoint biometric timelines | plot_gazepoint_multimodal_timeline |
| Plot breathing-rate spectrum from Gazepoint RR/IBI intervals | plot_gazepoint_ppg_breathing |
| Plot Gazepoint pulse/PPG peak detection results | plot_gazepoint_ppg_peak_detection |
| Plot a Poincare plot from Gazepoint pulse/PPG peaks or RR intervals | plot_gazepoint_ppg_poincare |
| Plot segmentwise Gazepoint pulse/PPG measures | plot_gazepoint_ppg_segmentwise |
| Plot pyHRV-style heart-rate heatplot | plot_gazepoint_pyhrv_hr_heatplot |
| Plot pyHRV-style radar chart | plot_gazepoint_pyhrv_radar_chart |
| Plot pyHRV-style tachogram | plot_gazepoint_pyhrv_tachogram |
| Plot Gazepoint saccade main-sequence diagnostics | plot_gazepoint_saccade_main_sequence |
| Plot Gazepoint SCR events on an EDA signal | plot_gazepoint_scr_events |
| Plot an SCR specification curve | plot_gazepoint_scr_specification_curve |
| Plot Gazepoint biometric signal activity | plot_gazepoint_signal_activity |
| Plot signal-quality diagnostics | plot_gazepoint_signal_quality |
| Plot Gazepoint time resets and time-order flags | plot_gazepoint_time_resets |
| Experimental topology-aware PPG morphology features | ppg_topology_features |
| Prepare AOI-biometric model data | prepare_gazepoint_aoi_biometrics_model_data |
| Prepare EDA artifact-classifier segment features | prepare_gazepoint_artifact_svm_features |
| Prepare an eye-tracking-only BIDS export | prepare_gazepoint_bids_eye |
| Prepare a physiology-only BIDS export | prepare_gazepoint_bids_physio |
| Prepare Gazepoint biometric summaries for mixed-model analysis | prepare_gazepoint_biometrics_lme_data |
| Prepare Gazepoint signals for Python BioSPPy | prepare_gazepoint_biosppy_input |
| Prepare Gazepoint EDA data for CTSI sparse deconvolution workflows | prepare_gazepoint_ctsi_input |
| Prepare Gazepoint EDA input for external cvxEDA-style workflows | prepare_gazepoint_cvxeda_input |
| Prepare Gazepoint data for eyetrackingR | prepare_gazepoint_eyetrackingr_input |
| Prepare Gazepoint data for gazeR | prepare_gazepoint_gazer_input |
| Prepare Gazepoint pulse/PPG data for HeartPy-style workflows | prepare_gazepoint_heartpy_input |
| Prepare Gazepoint EDA input for external Ledalab-style workflows | prepare_gazepoint_ledalab_input |
| Prepare Gazepoint data for mixed-model analysis | prepare_gazepoint_mixed_model_data |
| Prepare Gazepoint events for MNE-Python | prepare_gazepoint_mne_events |
| Prepare Gazepoint channels for an MNE RawArray | prepare_gazepoint_mne_input |
| Prepare Gazepoint multimodal model data | prepare_gazepoint_multimodal_model_data |
| Prepare Gazepoint EDA input for NeuroKit2-style workflows | prepare_gazepoint_neurokit_eda_input |
| Prepare Gazepoint EDA data for PsPM DCM workflows | prepare_gazepoint_pspm_dcm_input |
| Prepare Gazepoint EDA input for external PsPM-style workflows | prepare_gazepoint_pspm_input |
| Prepare Gazepoint pupil data for PupillometryR | prepare_gazepoint_pupillometryr_input |
| Prepare Gazepoint intervals for Python pyHRV | prepare_gazepoint_pyhrv_input |
| Prepare Gazepoint HRP/PPG waveform input for pyPPG | prepare_gazepoint_pyppg_input |
| Prepare Gazepoint IBI/RR data for RHRV | prepare_gazepoint_rhrv_input |
| Prepare Gazepoint SCR hurdle-model data | prepare_gazepoint_scr_hurdle_model_data |
| Prepare Gazepoint time-course data for cluster permutation testing | prepare_gazepoint_timecourse_test_data |
| Preprocess all available Gazepoint channels | preprocess_gazepoint_all |
| Preprocess Gazepoint SCR/GSR data PsPM-style | preprocess_gazepoint_scr_pspm_style |
| Run a full HeartPy-style Gazepoint pulse/PPG process | process_gazepoint_ppg_heartpy_style |
| Process Gazepoint pulse/PPG data in overlapping HeartPy-style segments | process_gazepoint_ppg_segmentwise |
| Profile a Gazepoint export folder before analysis | profile_gazepoint_export_folder |
| Recommend Gazepoint biometric exclusions | recommend_gazepoint_biometric_exclusions |
| Detect and reconstruct clipped pulse/PPG samples | reconstruct_gazepoint_ppg_clipping |
| Regress stimulus luminance from pupil diameter | regress_gazepoint_pupil_luminance |
| Reject implausible pulse/PPG peaks using RR-interval thresholds | reject_gazepoint_ppg_peaks |
| Remove baseline wander from Gazepoint pulse/PPG data | remove_gazepoint_ppg_baseline_wander |
| Create conservative reporting text for a cluster-permutation result | report_gazepoint_cluster_permutation |
| Report Gazepoint data quality | report_gazepoint_data_quality |
| Estimate respiration from PPG | respiration_from_ppg |
| Run automated exploratory statistics for Gazepoint feature tables | run_gazepoint_automated_statistics |
| Run a final real-data readiness gate for Gazepoint biometrics data | run_gazepoint_biometrics_real_data_readiness |
| Run a Gazepoint Biometrics workflow | run_gazepoint_biometrics_workflow |
| Run BioSPPy-style Gazepoint EDA processing | run_gazepoint_biosppy_eda |
| Run BioSPPy-style Gazepoint PPG/BVP processing | run_gazepoint_biosppy_ppg |
| Run a conservative cluster-based permutation test for Gazepoint time courses | run_gazepoint_cluster_permutation |
| Guardrail for cluster-permutation ANOVA | run_gazepoint_cluster_permutation_anova |
| Guardrail for covariate-adjusted cluster permutation | run_gazepoint_cluster_permutation_covariate_adjusted |
| Guardrail for mixed-model cluster permutation | run_gazepoint_cluster_permutation_lmer |
| Guardrail for high-performance cluster permutation | run_gazepoint_cluster_permutation_parallel |
| Run threshold-sensitivity checks for cluster-permutation analysis | run_gazepoint_cluster_threshold_sensitivity |
| Run a six-phase Gazepoint EDA/GSR analysis pipeline | run_gazepoint_eda_analysis_pipeline |
| Run a Gazepoint pulse/PPG cross-check against HeartPy when available | run_gazepoint_heartpy_crosscheck |
| Guardrail for multidimensional cluster permutation | run_gazepoint_multidimensional_cluster_permutation |
| Optionally run a NeuroKit2 EDA cross-check | run_gazepoint_neurokit_eda_crosscheck |
| Run blockwise online design optimization decision support | run_gazepoint_online_design_optimization |
| Run pyHRV-style Gazepoint HRV analysis | run_gazepoint_pyhrv_style |
| Run privacy-safe smoke tests on private Gazepoint exports | run_gazepoint_real_data_smoke |
| Run a multiverse of SCR scoring specifications | run_gazepoint_scr_multiverse |
| Run Gazepoint SCR threshold sensitivity checks | run_gazepoint_scr_threshold_sensitivity |
| Guardrail for threshold-free cluster enhancement | run_gazepoint_tfce |
| Launch a lightweight gpbiometrics Shiny dashboard | run_gpbiometrics_shiny |
| Launch a lightweight gpbiometrics Shiny peak/artifact annotator | run_gpbiometrics_shiny_annotator |
| Scale Gazepoint pulse/PPG signals within sections | scale_gazepoint_ppg_sections |
| Scale a Gazepoint pulse/PPG signal | scale_gazepoint_ppg_signal |
| Retention-first SCR responsivity sensitivity | scr_responsivity_sensitivity |
| Screen Gazepoint EDA/SCR nonresponders | screen_gazepoint_eda_nonresponders |
| Segment NN intervals into time windows | segment_gazepoint_pyhrv_nni |
| Record gpbiometrics session information | session_info_gazepoint |
| Inject simple synthetic artifacts into signal columns | simulate_gazepoint_artifact |
| Simulate Gazepoint-style biometric signals | simulate_gazepoint_biometrics |
| Simulate two-condition time-course data for cluster-permutation examples | simulate_gazepoint_cluster_timecourse_data |
| Simulate Gazepoint-style gaze and pupil data | simulate_gazepoint_eye_data |
| Simulate a small multimodal Gazepoint-style dataset | simulate_gazepoint_multimodal_data |
| Smooth a Gazepoint biometric signal | smooth_gazepoint_biometrics |
| Smooth a Gazepoint pulse/PPG signal | smooth_gazepoint_ppg_signal |
| Smooth Gazepoint pupil columns | smooth_gazepoint_pupil |
| Split Gazepoint recordings into PsPM-style sessions | split_gazepoint_sessions_pspm_style |
| Adaptive EMA normalization for non-stationary EDA | standardise_gazepoint_adaptive_ema standardize_gazepoint_adaptive_ema |
| Standardise Gazepoint biometric column names | standardise_gazepoint_biometric_names |
| Standardise a Gazepoint plot return contract | standardise_gazepoint_plot_contract |
| Standardise SCR or SCL using within-participant range correction | standardise_gazepoint_range_correction standardize_gazepoint_range_correction |
| Standardise SCR or SCL using intra-individual z-scoring | standardise_gazepoint_zscore standardize_gazepoint_zscore |
| Standardize biometric signals within participant or other analysis units | standardise_gazepoint_biometrics_within_unit standardize_gazepoint_biometrics_within_unit |
| Standardize common Gazepoint column names | standardize_gazepoint_column_names |
| Standardize Gazepoint column names | standardize_gazepoint_columns |
| Standardize Gazepoint plot return contracts | standardize_gazepoint_plot_contracts |
| Summarise biometric signals by AOI | summarise_gazepoint_aoi_biometrics |
| Summarise validity and availability of Gazepoint biometric signals | summarise_gazepoint_biometric_validity |
| Summarise the formatted gpbiometrics feature inventory | summarise_gazepoint_biometrics_feature_inventory |
| Summarise a Gazepoint Biometrics workflow object | summarise_gazepoint_biometrics_workflow |
| Summarise a Gazepoint analysis decision log | summarise_gazepoint_decision_log |
| Summarise Gazepoint engagement-dial windows | summarise_gazepoint_dial_windows |
| Summarise Gazepoint engagement-dial windows | summarise_gazepoint_engagement_windows |
| Summarise Gazepoint fixations by area of interest | summarise_gazepoint_fixations_by_aoi |
| Summarise full Gazepoint biometric windows | summarise_gazepoint_full_biometric_windows |
| Summarise tonic and phasic GSR/EDA components | summarise_gazepoint_gsr_tonic_phasic |
| Summarise Gazepoint GSR/EDA windows | summarise_gazepoint_gsr_windows |
| Summarise Gazepoint heart-rate windows | summarise_gazepoint_hr_windows |
| Summarise time-domain HRV features from Gazepoint IBI/RR intervals | summarise_gazepoint_hrv_features |
| Summarise Gazepoint IBI-derived HRV windows | summarise_gazepoint_ibi_hrv_windows |
| Summarise IBI/RR windows | summarise_gazepoint_ibi_windows |
| Summarise Gazepoint multimodal biometric windows | summarise_gazepoint_multimodal_windows |
| Summarise Gazepoint SCR responses in event windows | summarise_gazepoint_scr_event_windows |
| Summarize AOI dwell time and entries | summarize_gazepoint_aoi_dwell |
| Summarize a Gazepoint audit trail | summarize_gazepoint_audit_trail |
| Summarize beat-correction logs | summarize_gazepoint_beat_corrections |
| Summarize event-locked multimodal Gazepoint data | summarize_gazepoint_eventlocked_multimodal |
| Summarize Gazepoint export inventory | summarize_gazepoint_export_inventory |
| Summarize gpbiometrics feature coverage | summarize_gazepoint_feature_coverage |
| Summarize Gazepoint fixation metrics | summarize_gazepoint_fixations |
| American-spelling alias for fixation summaries by AOI | summarize_gazepoint_fixations_by_aoi |
| Summarize missingness and gap structure in Gazepoint data | summarize_gazepoint_missingness |
| Summarize signal-dropout detections | summarize_gazepoint_nonwear |
| Summarize preregistration readiness | summarize_gazepoint_preregistration_readiness |
| Summarize event-related pupil responses | summarize_gazepoint_pupil_events |
| Summarize QC overview tables | summarize_gazepoint_qc_overview |
| Summarize simple scanpath metrics | summarize_gazepoint_scanpath_metrics |
| Summarize SCR recovery around events | summarize_gazepoint_scr_recovery |
| Summarize signal-quality indicators | summarize_gazepoint_signal_quality |
| Summarize Gazepoint time clusters | summarize_gazepoint_time_clusters |
| Summarize Gazepoint tracking validity | summarize_gazepoint_tracking |
| Synchronise Gazepoint Biometrics with gaze data | sync_gazepoint_biometrics_with_gaze |
| Synchronize imported Gazepoint LSL/XDF streams | sync_gazepoint_signals_via_lsl |
| Test HRV nonlinearity using surrogate data | test_gazepoint_hrv_nonlinearity |
| Trim Gazepoint biometrics data PsPM-style | trim_gazepoint_biometrics_pspm_style |
| Regularize signal data to an evenly spaced time grid | upsample_gazepoint_data |
| Validate a Gazepoint Biometrics export | validate_gazepoint_biometrics |
| Validate a Gazepoint-format data frame | validate_gazepoint_format |
| Validate Gazepoint gaze data | validate_gazepoint_gaze |
| Validate Gazepoint metadata and required columns | validate_gazepoint_metadata |
| Write Gazepoint Biometrics report tables | write_gazepoint_biometrics_report_tables |
| Write a Gazepoint analysis decision log to disk | write_gazepoint_decision_log |
| Write a Gazepoint export-folder profile to disk | write_gazepoint_export_profile |
| Write an interoperability audit | write_gazepoint_interoperability_audit |
| Write prepared Gazepoint data to an MNE FIF file | write_gazepoint_mne_fif |
| Write privacy-safe real-data smoke-test summaries | write_gazepoint_real_data_smoke |