{ "_id": "6a48ef2cb5e98c4082a03a12", "Package": "gpbiometrics", "Type": "Package", "Title": "Process and Report Gazepoint Biometrics Data", "Version": "0.1.0", "Authors@R": "person(given = \"Stefanos\", family = \"Balaskas\", email = \"s.balaskas@ac.upatras.gr\", role = c(\"aut\", \"cre\"))", "Description": "Imports, validates, quality-checks, preprocesses,\nsummarises, synchronises, models, plots, and reports Gazepoint\nBiometrics exports. The package focuses on Gazepoint-specific\nbiometric channels such as GSR/EDA, heart rate, interbeat\nintervals, pulse signals, engagement dial, TTL markers, and\nsynchronisation fields that can be combined with Gazepoint GP3\nand GP3 HD eye-tracking workflows.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.0.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-04 11:27:50 UTC", "User": "root" }, "Author": "Stefanos Balaskas [aut, cre]", "Maintainer": "Stefanos Balaskas ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-07-04 07:10:15 UTC", "RemoteUrl": "https://github.com/cran/gpbiometrics", "RemoteRef": "HEAD", "RemoteSha": "a0ff964d9f812c46e03bfd414c63cfd0035bf2aa", "_user": "cran", "_type": "src", "_file": "gpbiometrics_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/da7577ff22eb9e840aa4144f7209f7fc078bb82d1fb30b70c6cb7625ef9f417a", "_filesize": 8826908, "_sha256": "da7577ff22eb9e840aa4144f7209f7fc078bb82d1fb30b70c6cb7625ef9f417a", "_expires": "2026-10-12T11:31:52.000Z", "_created": "2026-07-04T11:27:50.000Z", "_published": "2026-07-04T11:31:56.371Z", "_jobs": [ { "job": 85128530380, "time": 185, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8081289580" }, { "job": 85128530375, "time": 187, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8081289844" }, { "job": 85128346887, "time": 194, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8081268375" }, { "job": 85128530363, "time": 162, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8081286637" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/cran/actions/runs/28704676184", "_status": "success", "_upstream": "https://github.com/cran/gpbiometrics", "_commit": { "id": "a0ff964d9f812c46e03bfd414c63cfd0035bf2aa", "author": "Stefanos Balaskas ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1783149015 }, "_maintainer": { "name": "Stefanos Balaskas", "email": "s.balaskas@ac.upatras.gr" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "ggplot2", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "reticulate", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "shiny", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-27", "n": 1 } ], "_tags": [ { "name": "0.1.0", "date": "2026-07-04" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 615, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gpbiometrics" }, "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/gpbiometrics.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE", "manual.pdf" ], "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2026-07-04" } ], "_exports": [ "align_gazepoint_biometrics_to_ttl", "analyze_gazepoint_ac_susceptance", "analyze_gazepoint_cardiorespiratory_causality", "analyze_gazepoint_skin_potential", "assess_gazepoint_hrp_waveform_quality", "audit_gazepoint_biometric_missingness", "audit_gazepoint_biometric_sampling", "audit_gazepoint_biometric_sync_drift", "audit_gazepoint_distributional_drift", "audit_gazepoint_eda_artifacts", "audit_gazepoint_engagement_dial", "audit_gazepoint_gsr_quality", "audit_gazepoint_gsr_units", "audit_gazepoint_hr_quality", "audit_gazepoint_ibi_quality", "audit_gazepoint_signal_activity", "audit_gazepoint_stabilization_period", "audit_gazepoint_time_resets", "baseline_correct_gazepoint_gsr", "baseline_correct_gazepoint_hr", "baseline_correct_gazepoint_pupil", "calculate_gazepoint_rsa", "check_gazepoint_biometric_columns", "check_gazepoint_plot_contract", "chunk_gazepoint_biometrics", "classify_gazepoint_eda_response_pattern", "classify_gazepoint_scr_intervals", "compare_gazepoint_hr_ibi_consistency", "convert_gazepoint_gsr_to_conductance", "correct_gazepoint_eda_temperature", "create_gazepoint_biometrics_checklist", "create_gazepoint_biometrics_feature_inventory", "create_gazepoint_biometrics_methods_text", "create_gazepoint_biometrics_report", "create_gazepoint_biometrics_report_tables", "create_gazepoint_eda_analysis_pipeline", "create_gazepoint_preregistration_template", "decompose_gazepoint_eda", "denoise_gazepoint_eda_autoencoder", "denoise_gazepoint_eda_wavelet", "denoise_gazepoint_ppg_autoencoder", "denoise_gazepoint_quantization_noise", "detect_active_biometric_channels", "detect_gazepoint_biometric_schema", "detect_gazepoint_biometric_timebase", "detect_gazepoint_doubly_stochastic_changepoints", "detect_gazepoint_scr_events", "detect_gazepoint_scr_peaks", "detect_gazepoint_time_columns", "diagnose_gazepoint_biometrics_workflow", "estimate_gazepoint_signal_lag", "export_gazepoint_biometrics_report_bundle", "export_gazepoint_rhrv_input", "extract_gazepoint_beats_kmeans", "extract_gazepoint_bilateral_eda_asymmetry", "extract_gazepoint_eda_complexity", "extract_gazepoint_eda_spectral_power", "extract_gazepoint_eda_tvsymp", "extract_gazepoint_edr_pca", "extract_gazepoint_hrv_asymmetry", "extract_gazepoint_hrv_features", "extract_gazepoint_hrv_fragmentation", "extract_gazepoint_hrv_fuzzy_csi", "extract_gazepoint_hrv_geometric", "extract_gazepoint_hrv_nonlinear", "extract_gazepoint_hrv_rcmse", "extract_gazepoint_hrv_rqa", "extract_gazepoint_pdr_signals", "extract_gazepoint_respiration_ceemdan", "extract_gazepoint_scr_recovery_times", "extract_gazepoint_ttl_events", "filter_gazepoint_ibi_implausible", "flag_gazepoint_artifacts_svm", "flag_gazepoint_biometric_dropouts", "flag_gazepoint_mad_artifacts", "flag_kleckner_eda_artifacts", "format_gazepoint_biometrics_feature_inventory", "fuse_gazepoint_respiration_kalman", "get_gazepoint_plot_data", "get_gazepoint_plot_settings", "import_gazepoint_biometric_folder", "import_gazepoint_biometrics", "import_gazepoint_data_summary", "import_gazepoint_lsl_xdf", "join_gazepoint_biometrics_to_gp3tools", "join_gazepoint_biometrics_to_master", "model_gazepoint_eda_point_process", "model_gazepoint_hr_point_process", "model_gazepoint_hrv_ipfm", "optimize_gazepoint_cvxeda_tau", "plot_gazepoint_aoi_biometrics", "plot_gazepoint_biometric_quality", "plot_gazepoint_biometric_report_dashboard", "plot_gazepoint_biometric_signals", "plot_gazepoint_eda_decomposition", "plot_gazepoint_eda_gram", "plot_gazepoint_multimodal_timeline", "plot_gazepoint_saccade_main_sequence", "plot_gazepoint_scr_events", "plot_gazepoint_scr_specification_curve", "plot_gazepoint_signal_activity", "plot_gazepoint_time_resets", "prepare_gazepoint_aoi_biometrics_model_data", "prepare_gazepoint_artifact_svm_features", "prepare_gazepoint_biometrics_lme_data", "prepare_gazepoint_ctsi_input", "prepare_gazepoint_cvxeda_input", "prepare_gazepoint_ledalab_input", "prepare_gazepoint_multimodal_model_data", "prepare_gazepoint_neurokit_eda_input", "prepare_gazepoint_pspm_dcm_input", "prepare_gazepoint_pspm_input", "prepare_gazepoint_pyppg_input", "prepare_gazepoint_rhrv_input", "prepare_gazepoint_scr_hurdle_model_data", "recommend_gazepoint_biometric_exclusions", "regress_gazepoint_pupil_luminance", "run_gazepoint_automated_statistics", "run_gazepoint_biometrics_real_data_readiness", "run_gazepoint_biometrics_workflow", "run_gazepoint_eda_analysis_pipeline", "run_gazepoint_neurokit_eda_crosscheck", "run_gazepoint_online_design_optimization", "run_gazepoint_scr_multiverse", "run_gazepoint_scr_threshold_sensitivity", "run_gpbiometrics_shiny", "run_gpbiometrics_shiny_annotator", "screen_gazepoint_eda_nonresponders", "simulate_gazepoint_biometrics", "smooth_gazepoint_biometrics", "standardise_gazepoint_adaptive_ema", "standardise_gazepoint_biometric_names", "standardise_gazepoint_biometrics_within_unit", "standardise_gazepoint_plot_contract", "standardise_gazepoint_range_correction", "standardise_gazepoint_zscore", "standardize_gazepoint_adaptive_ema", "standardize_gazepoint_biometrics_within_unit", "standardize_gazepoint_plot_contracts", "standardize_gazepoint_range_correction", "standardize_gazepoint_zscore", "summarise_gazepoint_aoi_biometrics", "summarise_gazepoint_biometric_validity", "summarise_gazepoint_biometrics_feature_inventory", "summarise_gazepoint_biometrics_workflow", "summarise_gazepoint_dial_windows", "summarise_gazepoint_engagement_windows", "summarise_gazepoint_full_biometric_windows", "summarise_gazepoint_gsr_tonic_phasic", "summarise_gazepoint_gsr_windows", "summarise_gazepoint_hr_windows", "summarise_gazepoint_hrv_features", "summarise_gazepoint_ibi_hrv_windows", "summarise_gazepoint_ibi_windows", "summarise_gazepoint_multimodal_windows", "summarise_gazepoint_scr_event_windows", "sync_gazepoint_biometrics_with_gaze", "test_gazepoint_hrv_nonlinearity", "validate_gazepoint_biometrics", "write_gazepoint_biometrics_report_tables" ], "_help": [ { "page": "align_gazepoint_biometrics_to_ttl", "title": "Align Gazepoint biometric samples to TTL events", "topics": [ "align_gazepoint_biometrics_to_ttl" ] }, { "page": "analyze_gazepoint_ac_susceptance", "title": "Analyse AC EDA admittance and susceptance recordings", "topics": [ "analyze_gazepoint_ac_susceptance" ] }, { "page": "analyze_gazepoint_cardiorespiratory_causality", "title": "Analyse cardiorespiratory Granger-style directionality", "topics": [ "analyze_gazepoint_cardiorespiratory_causality" ] }, { "page": "analyze_gazepoint_skin_potential", "title": "Analyse endosomatic skin-potential recordings", "topics": [ "analyze_gazepoint_skin_potential" ] }, { "page": "assess_gazepoint_hrp_waveform_quality", "title": "Assess Gazepoint HRP waveform quality", "topics": [ "assess_gazepoint_hrp_waveform_quality" ] }, { "page": "audit_gazepoint_biometric_missingness", "title": "Audit missingness in Gazepoint biometric channels", "topics": [ "audit_gazepoint_biometric_missingness" ] }, { "page": "audit_gazepoint_biometric_sampling", "title": "Audit Gazepoint biometric sampling and timing", "topics": [ "audit_gazepoint_biometric_sampling" ] }, { "page": "audit_gazepoint_biometric_sync_drift", "title": "Audit Gazepoint biometric synchronization drift", "topics": [ "audit_gazepoint_biometric_sync_drift" ] }, { "page": "audit_gazepoint_distributional_drift", "title": "Audit distributional drift across sessions or ordered blocks", "topics": [ "audit_gazepoint_distributional_drift" ] }, { "page": "audit_gazepoint_eda_artifacts", "title": "Audit Gazepoint EDA/GSR artifacts", "topics": [ "audit_gazepoint_eda_artifacts" ] }, { "page": "audit_gazepoint_engagement_dial", "title": "Audit Gazepoint engagement-dial signal quality", "topics": [ "audit_gazepoint_engagement_dial" ] }, { "page": "audit_gazepoint_gsr_quality", "title": "Audit Gazepoint GSR/EDA signal quality", "topics": [ "audit_gazepoint_gsr_quality" ] }, { "page": "audit_gazepoint_gsr_units", "title": "Audit likely GSR/EDA units", "topics": [ "audit_gazepoint_gsr_units" ] }, { "page": "audit_gazepoint_hr_quality", "title": "Audit Gazepoint heart-rate signal quality", "topics": [ "audit_gazepoint_hr_quality" ] }, { "page": "audit_gazepoint_ibi_quality", "title": "Audit IBI/RR interval quality", "topics": [ "audit_gazepoint_ibi_quality" ] }, { "page": "audit_gazepoint_signal_activity", "title": "Audit Gazepoint biometric signal activity", "topics": [ "audit_gazepoint_signal_activity" ] }, { "page": "audit_gazepoint_stabilization_period", "title": "Audit or trim the EDA electrode stabilization period", "topics": [ "audit_gazepoint_stabilization_period" ] }, { "page": "audit_gazepoint_time_resets", "title": "Audit Gazepoint biometric time resets", "topics": [ "audit_gazepoint_time_resets" ] }, { "page": "baseline_correct_gazepoint_gsr", "title": "Baseline-correct Gazepoint GSR/EDA", "topics": [ "baseline_correct_gazepoint_gsr" ] }, { "page": "baseline_correct_gazepoint_hr", "title": "Baseline-correct Gazepoint heart rate", "topics": [ "baseline_correct_gazepoint_hr" ] }, { "page": "baseline_correct_gazepoint_pupil", "title": "Baseline-correct Gazepoint pupil size", "topics": [ "baseline_correct_gazepoint_pupil" ] }, { "page": "calculate_gazepoint_rsa", "title": "Calculate respiration-informed RSA proxy features", "topics": [ "calculate_gazepoint_rsa" ] }, { "page": "check_gazepoint_biometric_columns", "title": "Check Gazepoint biometric columns", "topics": [ "check_gazepoint_biometric_columns" ] }, { "page": "check_gazepoint_plot_contract", "title": "Check a Gazepoint plot return contract", "topics": [ "check_gazepoint_plot_contract" ] }, { "page": "chunk_gazepoint_biometrics", "title": "Chunk Gazepoint biometric data into fixed analysis episodes", "topics": [ "chunk_gazepoint_biometrics" ] }, { "page": "classify_gazepoint_eda_response_pattern", "title": "Classify descriptive Gazepoint EDA response patterns", "topics": [ "classify_gazepoint_eda_response_pattern" ] }, { "page": "classify_gazepoint_scr_intervals", "title": "Classify SCRs into FIR, SIR, and TIR latency intervals", "topics": [ "classify_gazepoint_scr_intervals" ] }, { "page": "compare_gazepoint_hr_ibi_consistency", "title": "Compare Gazepoint HR and IBI-derived heart rate", "topics": [ "compare_gazepoint_hr_ibi_consistency" ] }, { "page": "convert_gazepoint_gsr_to_conductance", "title": "Convert Gazepoint GSR resistance to conductance", "topics": [ "convert_gazepoint_gsr_to_conductance" ] }, { "page": "correct_gazepoint_eda_temperature", "title": "Correct EDA for ambient or body temperature", "topics": [ "correct_gazepoint_eda_temperature" ] }, { "page": "create_gazepoint_biometrics_checklist", "title": "Create a Gazepoint Biometrics reporting checklist", "topics": [ "create_gazepoint_biometrics_checklist" ] }, { "page": "create_gazepoint_biometrics_feature_inventory", "title": "Create a gpbiometrics feature inventory", "topics": [ "create_gazepoint_biometrics_feature_inventory" ] }, { "page": "create_gazepoint_biometrics_methods_text", "title": "Create Gazepoint Biometrics methods text", "topics": [ "create_gazepoint_biometrics_methods_text" ] }, { "page": "create_gazepoint_biometrics_report", "title": "Create a Gazepoint Biometrics report", "topics": [ "create_gazepoint_biometrics_report" ] }, { "page": "create_gazepoint_biometrics_report_tables", "title": "Create Gazepoint Biometrics report tables", "topics": [ "create_gazepoint_biometrics_report_tables" ] }, { "page": "create_gazepoint_eda_analysis_pipeline", "title": "Create a Gazepoint EDA analysis pipeline guide", "topics": [ "create_gazepoint_eda_analysis_pipeline" ] }, { "page": "create_gazepoint_preregistration_template", "title": "Create a Gazepoint biometrics preregistration template", "topics": [ "create_gazepoint_preregistration_template" ] }, { "page": "decompose_gazepoint_eda", "title": "Decompose Gazepoint GSR/EDA into tonic and phasic components", "topics": [ "decompose_gazepoint_eda" ] }, { "page": "denoise_gazepoint_eda_autoencoder", "title": "Denoise EDA using a user-supplied autoencoder reconstruction model", "topics": [ "denoise_gazepoint_eda_autoencoder" ] }, { "page": "denoise_gazepoint_eda_wavelet", "title": "Denoise EDA using dependency-light Haar wavelet shrinkage", "topics": [ "denoise_gazepoint_eda_wavelet" ] }, { "page": "denoise_gazepoint_ppg_autoencoder", "title": "Denoise PPG using a user-supplied autoencoder reconstruction model", "topics": [ "denoise_gazepoint_ppg_autoencoder" ] }, { "page": "denoise_gazepoint_quantization_noise", "title": "Add small uniform noise to reduce quantization overlap", "topics": [ "denoise_gazepoint_quantization_noise" ] }, { "page": "detect_active_biometric_channels", "title": "Detect active Gazepoint biometric channels", "topics": [ "detect_active_biometric_channels" ] }, { "page": "detect_gazepoint_biometric_schema", "title": "Detect the schema of Gazepoint biometric data", "topics": [ "detect_gazepoint_biometric_schema" ] }, { "page": "detect_gazepoint_biometric_timebase", "title": "Detect the likely timebase of Gazepoint biometric data", "topics": [ "detect_gazepoint_biometric_timebase" ] }, { "page": "detect_gazepoint_doubly_stochastic_changepoints", "title": "Detect stochastic change points in noisy biometric signals", "topics": [ "detect_gazepoint_doubly_stochastic_changepoints" ] }, { "page": "detect_gazepoint_scr_events", "title": "Detect SCR-like events in Gazepoint GSR/EDA data", "topics": [ "detect_gazepoint_scr_events" ] }, { "page": "detect_gazepoint_scr_peaks", "title": "Detect Gazepoint SCR peaks", "topics": [ "detect_gazepoint_scr_peaks" ] }, { "page": "detect_gazepoint_time_columns", "title": "Detect Gazepoint biometric time columns", "topics": [ "detect_gazepoint_time_columns" ] }, { "page": "diagnose_gazepoint_biometrics_workflow", "title": "Diagnose a Gazepoint Biometrics workflow", "topics": [ "diagnose_gazepoint_biometrics_workflow" ] }, { "page": "estimate_gazepoint_signal_lag", "title": "Estimate lag between two Gazepoint biometric signals", "topics": [ "estimate_gazepoint_signal_lag" ] }, { "page": "export_gazepoint_biometrics_report_bundle", "title": "Export a Gazepoint biometrics report bundle", "topics": [ "export_gazepoint_biometrics_report_bundle" ] }, { "page": "export_gazepoint_rhrv_input", "title": "Export Gazepoint IBI data for RHRV-style workflows", "topics": [ "export_gazepoint_rhrv_input" ] }, { "page": "extract_gazepoint_beats_kmeans", "title": "Extract heartbeat candidates from Gazepoint pulse using k-means", "topics": [ "extract_gazepoint_beats_kmeans" ] }, { "page": "extract_gazepoint_bilateral_eda_asymmetry", "title": "Extract bilateral EDA asymmetry features", "topics": [ "extract_gazepoint_bilateral_eda_asymmetry" ] }, { "page": "extract_gazepoint_eda_complexity", "title": "Extract EDA complexity features", "topics": [ "extract_gazepoint_eda_complexity" ] }, { "page": "extract_gazepoint_eda_spectral_power", "title": "Extract frequency-domain EDA spectral power", "topics": [ "extract_gazepoint_eda_spectral_power" ] }, { "page": "extract_gazepoint_eda_tvsymp", "title": "Extract time-varying spectral EDA features", "topics": [ "extract_gazepoint_eda_tvsymp" ] }, { "page": "extract_gazepoint_edr_pca", "title": "Extract ECG-derived respiration using PCA", "topics": [ "extract_gazepoint_edr_pca" ] }, { "page": "extract_gazepoint_hrv_asymmetry", "title": "Extract heart-rate asymmetry features", "topics": [ "extract_gazepoint_hrv_asymmetry" ] }, { "page": "extract_gazepoint_hrv_features", "title": "Extract time-domain HRV features from Gazepoint IBI intervals", "topics": [ "extract_gazepoint_hrv_features" ] }, { "page": "extract_gazepoint_hrv_fragmentation", "title": "Extract heart-rate fragmentation features", "topics": [ "extract_gazepoint_hrv_fragmentation" ] }, { "page": "extract_gazepoint_hrv_fuzzy_csi", "title": "Extract FuzzyEn and Lorenz-plot CSI HRV features", "topics": [ "extract_gazepoint_hrv_fuzzy_csi" ] }, { "page": "extract_gazepoint_hrv_geometric", "title": "Extract geometric HRV features", "topics": [ "extract_gazepoint_hrv_geometric" ] }, { "page": "extract_gazepoint_hrv_nonlinear", "title": "Extract nonlinear HRV features from IBI/RR intervals", "topics": [ "extract_gazepoint_hrv_nonlinear" ] }, { "page": "extract_gazepoint_hrv_rcmse", "title": "Extract refined composite multiscale entropy from HRV intervals", "topics": [ "extract_gazepoint_hrv_rcmse" ] }, { "page": "extract_gazepoint_hrv_rqa", "title": "Extract HRV recurrence quantification analysis features", "topics": [ "extract_gazepoint_hrv_rqa" ] }, { "page": "extract_gazepoint_pdr_signals", "title": "Extract PPG-derived respiration proxy signals", "topics": [ "extract_gazepoint_pdr_signals" ] }, { "page": "extract_gazepoint_respiration_ceemdan", "title": "Extract respiration proxy using a CEEMDAN-style bridge", "topics": [ "extract_gazepoint_respiration_ceemdan" ] }, { "page": "extract_gazepoint_scr_recovery_times", "title": "Extract SCR recovery times", "topics": [ "extract_gazepoint_scr_recovery_times" ] }, { "page": "extract_gazepoint_ttl_events", "title": "Extract Gazepoint TTL marker events", "topics": [ "extract_gazepoint_ttl_events" ] }, { "page": "filter_gazepoint_ibi_implausible", "title": "Filter implausible Gazepoint IBI values", "topics": [ "filter_gazepoint_ibi_implausible" ] }, { "page": "flag_gazepoint_artifacts_svm", "title": "Flag EDA artifacts with a user-supplied SVM-style model", "topics": [ "flag_gazepoint_artifacts_svm" ] }, { "page": "flag_gazepoint_biometric_dropouts", "title": "Flag biometric dropouts and flatline periods", "topics": [ "flag_gazepoint_biometric_dropouts" ] }, { "page": "flag_gazepoint_mad_artifacts", "title": "Flag MAD-based EDA wearable artifacts", "topics": [ "flag_gazepoint_mad_artifacts" ] }, { "page": "flag_kleckner_eda_artifacts", "title": "Flag EDA artifacts using transparent Kleckner-style heuristics", "topics": [ "flag_kleckner_eda_artifacts" ] }, { "page": "format_gazepoint_biometrics_feature_inventory", "title": "Format the gpbiometrics feature inventory for users", "topics": [ "format_gazepoint_biometrics_feature_inventory" ] }, { "page": "fuse_gazepoint_respiration_kalman", "title": "Fuse respiration proxies using a Kalman filter", "topics": [ "fuse_gazepoint_respiration_kalman" ] }, { "page": "get_gazepoint_plot_data", "title": "Extract stored plot data", "topics": [ "get_gazepoint_plot_data" ] }, { "page": "get_gazepoint_plot_settings", "title": "Extract stored plot settings", "topics": [ "get_gazepoint_plot_settings" ] }, { "page": "import_gazepoint_biometric_folder", "title": "Import a folder of Gazepoint Biometrics exports", "topics": [ "import_gazepoint_biometric_folder" ] }, { "page": "import_gazepoint_biometrics", "title": "Import a Gazepoint Biometrics export", "topics": [ "import_gazepoint_biometrics" ] }, { "page": "import_gazepoint_data_summary", "title": "Import a Gazepoint Data Summary export", "topics": [ "import_gazepoint_data_summary" ] }, { "page": "import_gazepoint_lsl_xdf", "title": "Import Gazepoint-related streams from an LSL/XDF file", "topics": [ "import_gazepoint_lsl_xdf" ] }, { "page": "join_gazepoint_biometrics_to_gp3tools", "title": "Join Gazepoint Biometrics data to gp3tools-style eye-tracking data", "topics": [ "join_gazepoint_biometrics_to_gp3tools" ] }, { "page": "join_gazepoint_biometrics_to_master", "title": "Join Gazepoint Biometrics to a master table", "topics": [ "join_gazepoint_biometrics_to_master" ] }, { "page": "model_gazepoint_eda_point_process", "title": "Model EDA events as a dependency-light point process", "topics": [ "model_gazepoint_eda_point_process" ] }, { "page": "model_gazepoint_hr_point_process", "title": "Model heartbeats as a dependency-light point process", "topics": [ "model_gazepoint_hr_point_process" ] }, { "page": "model_gazepoint_hrv_ipfm", "title": "Model heartbeat timing using an IPFM-style impulse train", "topics": [ "model_gazepoint_hrv_ipfm" ] }, { "page": "optimize_gazepoint_cvxeda_tau", "title": "Optimise subject-specific cvxEDA slow time constant", "topics": [ "optimize_gazepoint_cvxeda_tau" ] }, { "page": "plot_gazepoint_aoi_biometrics", "title": "Plot AOI-linked biometric summaries", "topics": [ "plot_gazepoint_aoi_biometrics" ] }, { "page": "plot_gazepoint_biometric_quality", "title": "Plot Gazepoint biometric quality indicators", "topics": [ "plot_gazepoint_biometric_quality" ] }, { "page": "plot_gazepoint_biometric_report_dashboard", "title": "Create a lightweight Gazepoint biometric QC plot dashboard", "topics": [ "plot_gazepoint_biometric_report_dashboard" ] }, { "page": "plot_gazepoint_biometric_signals", "title": "Plot Gazepoint biometric signal time series", "topics": [ "plot_gazepoint_biometric_signals" ] }, { "page": "plot_gazepoint_eda_decomposition", "title": "Plot Gazepoint EDA decomposition channels", "topics": [ "plot_gazepoint_eda_decomposition" ] }, { "page": "plot_gazepoint_eda_gram", "title": "Plot an EDA-gram-style time-frequency representation", "topics": [ "plot_gazepoint_eda_gram" ] }, { "page": "plot_gazepoint_multimodal_timeline", "title": "Plot multimodal Gazepoint biometric timelines", "topics": [ "plot_gazepoint_multimodal_timeline" ] }, { "page": "plot_gazepoint_saccade_main_sequence", "title": "Plot Gazepoint saccade main-sequence diagnostics", "topics": [ "plot_gazepoint_saccade_main_sequence" ] }, { "page": "plot_gazepoint_scr_events", "title": "Plot Gazepoint SCR events on an EDA signal", "topics": [ "plot_gazepoint_scr_events" ] }, { "page": "plot_gazepoint_scr_specification_curve", "title": "Plot an SCR specification curve", "topics": [ "plot_gazepoint_scr_specification_curve" ] }, { "page": "plot_gazepoint_signal_activity", "title": "Plot Gazepoint biometric signal activity", "topics": [ "plot_gazepoint_signal_activity" ] }, { "page": "plot_gazepoint_time_resets", "title": "Plot Gazepoint time resets and time-order flags", "topics": [ "plot_gazepoint_time_resets" ] }, { "page": "prepare_gazepoint_aoi_biometrics_model_data", "title": "Prepare AOI-biometric model data", "topics": [ "prepare_gazepoint_aoi_biometrics_model_data" ] }, { "page": "prepare_gazepoint_artifact_svm_features", "title": "Prepare EDA artifact-classifier segment features", "topics": [ "prepare_gazepoint_artifact_svm_features" ] }, { "page": "prepare_gazepoint_biometrics_lme_data", "title": "Prepare Gazepoint biometric summaries for mixed-model analysis", "topics": [ "prepare_gazepoint_biometrics_lme_data" ] }, { "page": "prepare_gazepoint_ctsi_input", "title": "Prepare Gazepoint EDA data for CTSI sparse deconvolution workflows", "topics": [ "prepare_gazepoint_ctsi_input" ] }, { "page": "prepare_gazepoint_cvxeda_input", "title": "Prepare Gazepoint EDA input for external cvxEDA-style workflows", "topics": [ "prepare_gazepoint_cvxeda_input" ] }, { "page": "prepare_gazepoint_ledalab_input", "title": "Prepare Gazepoint EDA input for external Ledalab-style workflows", "topics": [ "prepare_gazepoint_ledalab_input" ] }, { "page": "prepare_gazepoint_multimodal_model_data", "title": "Prepare Gazepoint multimodal model data", "topics": [ "prepare_gazepoint_multimodal_model_data" ] }, { "page": "prepare_gazepoint_neurokit_eda_input", "title": "Prepare Gazepoint EDA input for NeuroKit2-style workflows", "topics": [ "prepare_gazepoint_neurokit_eda_input" ] }, { "page": "prepare_gazepoint_pspm_dcm_input", "title": "Prepare Gazepoint EDA data for PsPM DCM workflows", "topics": [ "prepare_gazepoint_pspm_dcm_input" ] }, { "page": "prepare_gazepoint_pspm_input", "title": "Prepare Gazepoint EDA input for external PsPM-style workflows", "topics": [ "prepare_gazepoint_pspm_input" ] }, { "page": "prepare_gazepoint_pyppg_input", "title": "Prepare Gazepoint HRP/PPG waveform input for pyPPG", "topics": [ "prepare_gazepoint_pyppg_input" ] }, { "page": "prepare_gazepoint_rhrv_input", "title": "Prepare Gazepoint IBI/RR data for RHRV", "topics": [ "prepare_gazepoint_rhrv_input" ] }, { "page": "prepare_gazepoint_scr_hurdle_model_data", "title": "Prepare Gazepoint SCR hurdle-model data", "topics": [ "prepare_gazepoint_scr_hurdle_model_data" ] }, { "page": "recommend_gazepoint_biometric_exclusions", "title": "Recommend Gazepoint biometric exclusions", "topics": [ "recommend_gazepoint_biometric_exclusions" ] }, { "page": "regress_gazepoint_pupil_luminance", "title": "Regress stimulus luminance from pupil diameter", "topics": [ "regress_gazepoint_pupil_luminance" ] }, { "page": "run_gazepoint_automated_statistics", "title": "Run automated exploratory statistics for Gazepoint feature tables", "topics": [ "run_gazepoint_automated_statistics" ] }, { "page": "run_gazepoint_biometrics_real_data_readiness", "title": "Run a final real-data readiness gate for Gazepoint biometrics data", "topics": [ "run_gazepoint_biometrics_real_data_readiness" ] }, { "page": "run_gazepoint_biometrics_workflow", "title": "Run a Gazepoint Biometrics workflow", "topics": [ "run_gazepoint_biometrics_workflow" ] }, { "page": "run_gazepoint_eda_analysis_pipeline", "title": "Run a six-phase Gazepoint EDA/GSR analysis pipeline", "topics": [ "run_gazepoint_eda_analysis_pipeline" ] }, { "page": "run_gazepoint_neurokit_eda_crosscheck", "title": "Optionally run a NeuroKit2 EDA cross-check", "topics": [ "run_gazepoint_neurokit_eda_crosscheck" ] }, { "page": "run_gazepoint_online_design_optimization", "title": "Run blockwise online design optimization decision support", "topics": [ "run_gazepoint_online_design_optimization" ] }, { "page": "run_gazepoint_scr_multiverse", "title": "Run a multiverse of SCR scoring specifications", "topics": [ "run_gazepoint_scr_multiverse" ] }, { "page": "run_gazepoint_scr_threshold_sensitivity", "title": "Run Gazepoint SCR threshold sensitivity checks", "topics": [ "run_gazepoint_scr_threshold_sensitivity" ] }, { "page": "run_gpbiometrics_shiny", "title": "Launch a lightweight gpbiometrics Shiny dashboard", "topics": [ "run_gpbiometrics_shiny" ] }, { "page": "run_gpbiometrics_shiny_annotator", "title": "Launch a lightweight gpbiometrics Shiny peak/artifact annotator", "topics": [ "run_gpbiometrics_shiny_annotator" ] }, { "page": "screen_gazepoint_eda_nonresponders", "title": "Screen Gazepoint EDA/SCR nonresponders", "topics": [ "screen_gazepoint_eda_nonresponders" ] }, { "page": "simulate_gazepoint_biometrics", "title": "Simulate Gazepoint-style biometric signals", "topics": [ "simulate_gazepoint_biometrics" ] }, { "page": "smooth_gazepoint_biometrics", "title": "Smooth a Gazepoint biometric signal", "topics": [ "smooth_gazepoint_biometrics" ] }, { "page": "standardise_gazepoint_adaptive_ema", "title": "Adaptive EMA normalization for non-stationary EDA", "topics": [ "standardise_gazepoint_adaptive_ema", "standardize_gazepoint_adaptive_ema" ] }, { "page": "standardise_gazepoint_biometric_names", "title": "Standardise Gazepoint biometric column names", "topics": [ "standardise_gazepoint_biometric_names" ] }, { "page": "standardise_gazepoint_plot_contract", "title": "Standardise a Gazepoint plot return contract", "topics": [ "standardise_gazepoint_plot_contract" ] }, { "page": "standardise_gazepoint_range_correction", "title": "Standardise SCR or SCL using within-participant range correction", "topics": [ "standardise_gazepoint_range_correction", "standardize_gazepoint_range_correction" ] }, { "page": "standardise_gazepoint_zscore", "title": "Standardise SCR or SCL using intra-individual z-scoring", "topics": [ "standardise_gazepoint_zscore", "standardize_gazepoint_zscore" ] }, { "page": "standardize_gazepoint_biometrics_within_unit", "title": "Standardize biometric signals within participant or other analysis units", "topics": [ "standardise_gazepoint_biometrics_within_unit", "standardize_gazepoint_biometrics_within_unit" ] }, { "page": "standardize_gazepoint_plot_contracts", "title": "Standardize Gazepoint plot return contracts", "topics": [ "standardize_gazepoint_plot_contracts" ] }, { "page": "summarise_gazepoint_aoi_biometrics", "title": "Summarise biometric signals by AOI", "topics": [ "summarise_gazepoint_aoi_biometrics" ] }, { "page": "summarise_gazepoint_biometric_validity", "title": "Summarise validity and availability of Gazepoint biometric signals", "topics": [ "summarise_gazepoint_biometric_validity" ] }, { "page": "summarise_gazepoint_biometrics_feature_inventory", "title": "Summarise the formatted gpbiometrics feature inventory", "topics": [ "summarise_gazepoint_biometrics_feature_inventory" ] }, { "page": "summarise_gazepoint_biometrics_workflow", "title": "Summarise a Gazepoint Biometrics workflow object", "topics": [ "summarise_gazepoint_biometrics_workflow" ] }, { "page": "summarise_gazepoint_dial_windows", "title": "Summarise Gazepoint engagement-dial windows", "topics": [ "summarise_gazepoint_dial_windows" ] }, { "page": "summarise_gazepoint_engagement_windows", "title": "Summarise Gazepoint engagement-dial windows", "topics": [ "summarise_gazepoint_engagement_windows" ] }, { "page": "summarise_gazepoint_full_biometric_windows", "title": "Summarise full Gazepoint biometric windows", "topics": [ "summarise_gazepoint_full_biometric_windows" ] }, { "page": "summarise_gazepoint_gsr_tonic_phasic", "title": "Summarise tonic and phasic GSR/EDA components", "topics": [ "summarise_gazepoint_gsr_tonic_phasic" ] }, { "page": "summarise_gazepoint_gsr_windows", "title": "Summarise Gazepoint GSR/EDA windows", "topics": [ "summarise_gazepoint_gsr_windows" ] }, { "page": "summarise_gazepoint_hr_windows", "title": "Summarise Gazepoint heart-rate windows", "topics": [ "summarise_gazepoint_hr_windows" ] }, { "page": "summarise_gazepoint_hrv_features", "title": "Summarise time-domain HRV features from Gazepoint IBI/RR intervals", "topics": [ "summarise_gazepoint_hrv_features" ] }, { "page": "summarise_gazepoint_ibi_hrv_windows", "title": "Summarise Gazepoint IBI-derived HRV windows", "topics": [ "summarise_gazepoint_ibi_hrv_windows" ] }, { "page": "summarise_gazepoint_ibi_windows", "title": "Summarise IBI/RR windows", "topics": [ "summarise_gazepoint_ibi_windows" ] }, { "page": "summarise_gazepoint_multimodal_windows", "title": "Summarise Gazepoint multimodal biometric windows", "topics": [ "summarise_gazepoint_multimodal_windows" ] }, { "page": "summarise_gazepoint_scr_event_windows", "title": "Summarise Gazepoint SCR responses in event windows", "topics": [ "summarise_gazepoint_scr_event_windows" ] }, { "page": "sync_gazepoint_biometrics_with_gaze", "title": "Synchronise Gazepoint Biometrics with gaze data", "topics": [ "sync_gazepoint_biometrics_with_gaze" ] }, { "page": "test_gazepoint_hrv_nonlinearity", "title": "Test HRV nonlinearity using surrogate data", "topics": [ "test_gazepoint_hrv_nonlinearity" ] }, { "page": "validate_gazepoint_biometrics", "title": "Validate a Gazepoint Biometrics export", "topics": [ "validate_gazepoint_biometrics" ] }, { "page": "write_gazepoint_biometrics_report_tables", "title": "Write Gazepoint Biometrics report tables", "topics": [ "write_gazepoint_biometrics_report_tables" ] } ], "_readme": "https://github.com/cran/gpbiometrics/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "gpbiometrics-workflow.Rmd", "filename": "gpbiometrics-workflow.html", "title": "gpbiometrics workflow", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Load the package", "Built-in synthetic kiosk demo", "1. Import Gazepoint biometric exports", "2. Inspect real-data readiness", "3. Run the full workflow", "4. EDA, GSR, and SCR examples", "5. Pulse, IBI, HRV, and respiration examples", "6. TTL alignment and model-ready data", "7. Reporting bundle", "8. Feature inventory", "9. Interpretation guardrails", "10. Private real-data smoke tests" ], "created": "2026-07-04 07:10:15", "modified": "2026-07-04 07:10:15", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": true, "_nocasepkg": "gpbiometrics", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-07-04T11:30:27.000Z", "distro": "resolute", "commit": "a0ff964d9f812c46e03bfd414c63cfd0035bf2aa", "fileid": "https://r2.ropensci.org/72751c5b5cdacf33ac2b5524f8c529f0def36b6f4cdf606f8efd84a6dcf4acb2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/28704676184" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-07-04T11:30:25.000Z", "distro": "resolute", "commit": "a0ff964d9f812c46e03bfd414c63cfd0035bf2aa", "fileid": "https://r2.ropensci.org/2bb67e029f3ac4ccb2cb1a269d0e2c0c636a5d3465e1b5890f7cafd760e61a3d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/28704676184" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-07-04T11:31:01.000Z", "commit": "a0ff964d9f812c46e03bfd414c63cfd0035bf2aa", "fileid": "https://r2.ropensci.org/8f83e5f2773128a88993b06c4810eda074440de3f6fb77c624a87f7a241a4077", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/28704676184" } ] }