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