Package index • rmorie

Package overview

rmorie rmorie-package: morie: Multi-Domain Open Research and Inferential Estimation

Datasets & catalog

Discover and load the bundled + fetched public-data catalogue.

morie_datasets_arcgis_item_by_id(): Generic by-id loader for any ArcGIS Online Feature Service item.
morie_datasets_arcgis_item_metadata(): Resolve any ArcGIS Online item id to its FeatureServer URL + canonical metadata.
morie_datasets_arsau_aggregate_summary(): Ontario Use-of-Force aggregate summary (5-year 2020-2022, pre-RBDS rollup)
morie_datasets_arsau_detailed_dataset(): Ontario Use-of-Force detailed dataset (5-year 2020-2022, pre-RBDS)
morie_datasets_arsau_uof_individual_records(): Ontario Use-of-Force individual records (one row per individual-in-incident)
morie_datasets_arsau_uof_main_records(): Ontario Use-of-Force main records (one row per incident)
morie_datasets_arsau_uof_probe_cycle_records(): Ontario Use-of-Force probe-cycle records (one row per CEW cartridge probe per individual-in-incident)
morie_datasets_arsau_uof_weapon_records(): Ontario Use-of-Force weapon records (one row per weapon per individual-in-incident)
morie_datasets_bigquery(): Pull a BigQuery table (or filtered slice) as a data.frame.
morie_datasets_browse(): Browse + filter the morie cross-portal dataset catalog
morie_datasets_calgary_community_crime_stats() morie_datasets_calgary_fire_response_calls() morie_datasets_calgary_fire_stations(): Calgary Community Crime Statistics (sample)
morie_datasets_calgary_open_crime_adjacent_layers() morie_datasets_edmonton_open_crime_adjacent_layers() morie_datasets_ottawa_open_crime_adjacent_layers(): Calgary Open Data crime-adjacent catalog
morie_datasets_calgary_socrata_by_id() morie_datasets_edmonton_socrata_by_id(): Fetch a Calgary Open Data Socrata dataset by ID
morie_datasets_chicago_arrests(): City of Chicago Open Data – Arrests feed (dpt3-jri9)
morie_datasets_chicago_community_areas(): Chicago Community Area boundaries (cauq-8yn6)
morie_datasets_chicago_crime(): City of Chicago "Crimes – 2001 to Present" feed (ijzp-q8t2)
morie_datasets_chicago_crime_map(): City of Chicago "Crimes – 2001 to Present – Map" view (ahwe-kpsy)
morie_datasets_chicago_crime_odata(): City of Chicago Crimes feed via OData v4 (ijzp-q8t2)
morie_datasets_chicago_crime_resolved(): One-call Chicago crime + boundary + dictionary join
morie_datasets_chicago_crime_soql(): City of Chicago Crimes feed – arbitrary-SoQL escape hatch
morie_datasets_chicago_iucr_codes(): Chicago Police Department – Illinois Uniform Crime Reporting (IUCR) code dictionary (c7ck-438e)
morie_datasets_chicago_neighborhoods(): Chicago Neighborhoods boundary (Office of Tourism)
morie_datasets_chicago_police_beats(): Chicago Police Beats (current) boundaries (n9it-hstw)
morie_datasets_chicago_police_districts(): Chicago Police Districts (current) boundaries (24zt-jpfn)
morie_datasets_chicago_wards(): Chicago City Council Ward boundaries (sp34-6z76)
morie_datasets_cihi_data_tables(): Catalogue of CIHI open data-table workbooks
morie_datasets_ckan_package(): Pull every CSV resource of a CKAN package as a list of data frames.
morie_datasets_ckan_search(): Search a CKAN open-data portal by free-text query.
morie_datasets_corrections_uof_ethnic_origin(): Inmate-participant ethnic origin
morie_datasets_corrections_uof_incident_type(): Incident-type lookup
morie_datasets_corrections_uof_incidents(): Use-of-force incidents (head dataset)
morie_datasets_corrections_uof_indigenous(): Inmate-participant Indigenous identity
morie_datasets_corrections_uof_inmate_incident(): Inmate-to-incidents bridging table
morie_datasets_corrections_uof_inmate_participant(): Inmate-participant demographics (head)
morie_datasets_corrections_uof_institution_summary(): Institution-level annual incident summary
morie_datasets_corrections_uof_location_summary(): Location-of-incident annual summary
morie_datasets_corrections_uof_race(): Inmate-participant race
morie_datasets_corrections_uof_religion(): Inmate-participant religion
morie_datasets_corrections_uof_select_incident_summary(): Select-incident-type annual summary
morie_datasets_corrections_uof_staff_incident(): Staff-to-incidents bridging table
morie_datasets_cpads(): Load the Canadian Postsecondary Alcohol and Drug-use Survey (CPADS)
morie_datasets_cpd_public_arrests(): Chicago Police Department – Public Arrest Data (2014-2017)
morie_datasets_edmonton_police_stations() morie_datasets_edmonton_fire_stations(): Edmonton Police Station locations
morie_datasets_external_socrata_layers(): List the external Socrata datasets wrapped by morie
morie_datasets_load_by_key(): Load a dataset by its cross-portal catalog dataset_key
morie_datasets_montreal_ckan_resource(): Fetch records from any donnees.montreal.ca CKAN datastore resource
morie_datasets_montreal_justice_safety_layers(): Donnees Montreal "Loi, justice et securite publique" catalog
morie_datasets_montreal_sim_intervention_types(): SIM intervention TYPE -> French description dictionary
morie_datasets_montreal_sim_interventions(): SIM Montreal Fire Service intervention records (sample)
morie_datasets_namus_missing_persons(): NamUs missing-persons case metadata.
morie_datasets_nibrs(): FBI NIBRS offence-event records via the Crime Data Explorer API.
morie_datasets_nist_rds(): NIST Reference Datasets (RDS) catalog metadata.
morie_datasets_nyc_boroughs(): NYC Borough Boundaries (gthc-hcne)
morie_datasets_nyc_boundaries_catalog(): Unified catalog of NYC OpenData boundary loaders
morie_datasets_nyc_community_districts(): NYC community district boundaries
morie_datasets_nyc_council_districts(): NYC City Council district boundaries
morie_datasets_nyc_ntas_2020(): NYC Neighborhood Tabulation Areas (2020)
morie_datasets_nyc_nypd_arrests_historic(): NYPD Arrests Data (Historic)
morie_datasets_nyc_nypd_arrests_ytd(): NYPD Arrest Data (Year to Date)
morie_datasets_nyc_nypd_boro_crosswalk(): NYPD borough-code cross-reference (1-letter / UPPER / numeric)
morie_datasets_nyc_nypd_by_key(): Generic NYC NYPD dataset loader by registry key
morie_datasets_nyc_nypd_complaint_historic(): NYPD Complaint Data Historic
morie_datasets_nyc_nypd_complaint_ytd(): NYPD Complaint Data Current (Year To Date)
morie_datasets_nyc_nypd_hate_crimes(): NYPD Hate Crimes
morie_datasets_nyc_nypd_law_books(): NYS / NYC statute book code dictionary
morie_datasets_nyc_nypd_layers(): List the NYPD criminal-justice Socrata datasets wrapped by morie
morie_datasets_nyc_nypd_offense_codes(): NYPD offense-code dictionary (ky_cd + pd_cd + descriptions)
morie_datasets_nyc_nypd_resolved(): One-call NYPD data + borough + precinct join
morie_datasets_nyc_nypd_uof_incidents(): NYPD Use of Force Incidents
morie_datasets_nyc_nypd_uof_subjects(): NYPD Use of Force: Subjects
morie_datasets_nyc_nypd_vehicle_stops(): NYPD Vehicle Stop Reports
morie_datasets_nyc_opendata_bulk_layers() morie_datasets_chicago_opendata_bulk_layers() morie_datasets_toronto_opendata_bulk_layers() morie_datasets_calgary_opendata_bulk_layers() morie_datasets_edmonton_opendata_bulk_layers() morie_datasets_ottawa_opendata_bulk_layers() morie_datasets_montreal_opendata_bulk_layers() morie_datasets_vancouver_opendata_bulk_layers(): NYC OpenData bulk catalog (2851 entities)
morie_datasets_nyc_police_precincts(): NYC Police Precincts boundary layer (y76i-bdw7)
morie_datasets_nyc_school_districts(): NYC public school district boundaries (NYS K-12)
morie_datasets_nyc_socrata_by_id() morie_datasets_chicago_socrata_by_id(): Fetch a NYC OpenData Socrata dataset by ID
morie_datasets_nyc_stop_and_frisk(): NYPD Stop, Question and Frisk (SQF) microdata via NYC OpenData.
morie_datasets_nyc_zctas(): NYC ZIP Code Tabulation Areas (ZCTAs)
morie_datasets_ontario_ckan_by_key(): Generic Ontario CKAN dataset loader (by registry key)
morie_datasets_ontario_ckan_layers(): List the Ontario CKAN datasets wrapped by morie
morie_datasets_otis_a01(): Load the OTIS A01 Restrictive-Confinement Detailed Dataset
morie_datasets_otis_a01_restrictive_confinement(): OTIS a01 – Restrictive Confinement (detailed per-individual)
morie_datasets_otis_b01_segregation_detailed(): OTIS b01 – Segregation detailed (per-individual episodes)
morie_datasets_otis_b02_segregation_total_days(): OTIS b02 – Segregation total days per individual
morie_datasets_otis_b03_seg_alerts_by_institution(): OTIS b03 – Segregation placements: alerts + hold by institution
morie_datasets_otis_b04_seg_consecutive_by_region(): OTIS b04 – Segregation consecutive durations by region
morie_datasets_otis_b05_seg_consecutive_lengths(): OTIS b05 – Segregation placements by consecutive-length bucket
morie_datasets_otis_b06_seg_reason_by_institution(): OTIS b06 – Segregation placements: reason for placement by institution
morie_datasets_otis_b07_seg_alerts_by_gender(): OTIS b07 – Segregation placements: alerts + hold by gender
morie_datasets_otis_b08_seg_consecutive_by_institution(): OTIS b08 – Segregation consecutive durations by institution
morie_datasets_otis_b09_seg_n_times(): OTIS b09 – Individuals in segregation by number of times placed
morie_datasets_otis_c01_individuals_total(): OTIS c01 – Total individuals (in custody / restrictive confinement / segregation)
morie_datasets_otis_c02_individuals_by_institution(): OTIS c02 – Individuals by institution
morie_datasets_otis_c03_individuals_race_by_gender(): OTIS c03 – Individuals by race x gender
morie_datasets_otis_c04_individuals_race_by_region(): OTIS c04 – Individuals by race x region
morie_datasets_otis_c05_individuals_religion_by_region(): OTIS c05 – Individuals by religion x region
morie_datasets_otis_c06_individuals_age_by_region(): OTIS c06 – Individuals by age category x region
morie_datasets_otis_c07_individuals_alerts(): OTIS c07 – Individuals: alerts + hold flags
morie_datasets_otis_c08_individuals_religion_by_gender(): OTIS c08 – Individuals by religion x gender
morie_datasets_otis_c09_individuals_age_by_gender(): OTIS c09 – Individuals by age category x gender
morie_datasets_otis_c10_aggregate_durations_by_institution(): OTIS c10 – Aggregate durations by institution
morie_datasets_otis_c11_aggregate_lengths(): OTIS c11 – Aggregate lengths
morie_datasets_otis_c12_aggregate_durations_by_region(): OTIS c12 – Aggregate durations by region
morie_datasets_otis_d01_deaths_in_custody(): OTIS Deaths-in-Custody detailed dataset (d01)
morie_datasets_otis_d02_deaths_by_gender(): OTIS d02 – Deaths in custody by gender
morie_datasets_otis_d03_deaths_by_race(): OTIS d03 – Deaths in custody by race
morie_datasets_otis_d04_deaths_by_religion(): OTIS d04 – Deaths in custody by religion
morie_datasets_otis_d05_deaths_by_age_category(): OTIS d05 – Deaths in custody by age category
morie_datasets_otis_d06_cause_by_alert(): OTIS d06 – Deaths in custody by alert type x institution
morie_datasets_otis_d07_alerts_by_housing_unit(): OTIS d07 – Deaths in custody alerts x housing unit
morie_datasets_siu_director_reports(): SIU director's-reports index (legacy PDF anchors).
morie_datasets_siu_report_fields(): Extract structured fields from an SIU director's-report text or URL.
morie_datasets_siu_report_text(): Download an SIU director's-report PDF and return its plain text.
morie_datasets_statcan_ccjs_cubes(): Statistics Canada CCJS cube registry (curated subset)
morie_datasets_statcan_cube_metadata(): Fetch a StatCan cube's metadata (dimensions + members) via WDS
morie_datasets_statcan_full_csv_url(): Get the bulk-CSV download URL for a StatCan cube
morie_datasets_statcan_vectors(): Fetch the latest N periods for a set of StatCan vectors via WDS
morie_datasets_summary(): Tally the cross-portal catalog by source + api_mode
morie_datasets_toronto_ambulance_stations(): Toronto Ambulance station locations
morie_datasets_toronto_asr_miscellaneous(): TPS Annual Statistical Report – Miscellaneous data (aggregated)
morie_datasets_toronto_open_ckan_resource(): Fetch records from any open.toronto.ca CKAN resource
morie_datasets_toronto_open_crime_adjacent_layers(): Toronto Open Data crime-adjacent CKAN catalog
morie_datasets_toronto_zoning_per_neighbourhood(): Toronto Zoning per Neighbourhood (EsriCanadaEducation)
morie_datasets_tps_2008_firs(): 2008 FIRS
morie_datasets_tps_2009_firs(): 2009 FIRS
morie_datasets_tps_2010_firs(): 2010 FIRS
morie_datasets_tps_2011_firs(): 2011 FIRS
morie_datasets_tps_2012_firs(): 2012 FIRS
morie_datasets_tps_2013_firs(): 2013 FIRS
morie_datasets_tps_administrative(): Administrative (ASR-AD-TBL-001)
morie_datasets_tps_arcgis_hub_by_id(): Generic TPS ArcGIS Hub dataset loader by hub_id
morie_datasets_tps_arcgis_hub_download(): Direct multi-format downloader (binary or text) for a TPS Hub item
morie_datasets_tps_arcgis_hub_layers(): List the Toronto Police Service ArcGIS Hub datasets wrapped by morie
morie_datasets_tps_arrested_and_charged_persons(): Arrested and Charged Persons (ASR-ENF-TBL-001)
morie_datasets_tps_arrests_and_strip_searches(): Arrests and Strip Searches (RBDC-ARR-TBL-001)
morie_datasets_tps_assault(): TPS PSDP – Assault
morie_datasets_tps_automobile_ksi(): Automobile KSI
morie_datasets_tps_autotheft(): TPS PSDP – Auto Theft
morie_datasets_tps_bicycle_thefts(): Bicycle Thefts Open Data
morie_datasets_tps_bicycletheft(): TPS PSDP – Bicycle Theft
morie_datasets_tps_breakandenter(): TPS PSDP – Break and Enter
morie_datasets_tps_budget_2020(): Budget_2020
morie_datasets_tps_budget_2021(): Budget_2021
morie_datasets_tps_budget_2022(): Budget_2022
morie_datasets_tps_budget_2023(): Budget_2023
morie_datasets_tps_budget_2024(): Budget_2024
morie_datasets_tps_budget_2025(): Budget_2025
morie_datasets_tps_budget_2026(): Budget_2026
morie_datasets_tps_budget_by_command(): Budget_by_Command
morie_datasets_tps_calls_for_service_attended(): Calls for Service Attended (ASR-CS-TBL-003)
morie_datasets_tps_community_safety_indicators(): Community Safety Indicators Open Data
morie_datasets_tps_complaint_dispositions(): Complaint Dispositions (ASR-PCF-TBL-003)
morie_datasets_tps_cyclist_ksi(): Cyclist KSI
morie_datasets_tps_dispatched_calls_by_division(): Dispatched Calls by Division (ASR-CS-TBL-001)
morie_datasets_tps_facilities(): Facilities
morie_datasets_tps_fatals_ksi(): Fatals KSI
morie_datasets_tps_firearms_top_calibres(): Firearms Top Calibres (ASR-F-TBL-001)
morie_datasets_tps_gross_expenditures_by_division(): Gross Expenditures by Division (ASR-PB-TBL-001)
morie_datasets_tps_gross_operating_budget(): Gross Operating Budget (ASR-PB-TBL-005)
morie_datasets_tps_hatecrimes(): TPS PSDP – Hate Crimes
morie_datasets_tps_homicide(): TPS Homicides feed.
morie_datasets_tps_homicides(): TPS PSDP – Homicides
morie_datasets_tps_intimate_partner_family_violence(): TPS PSDP – Intimate Partner and Family Violence
morie_datasets_tps_investigated_alleged_misconduct(): Investigated Alleged Misconduct (ASR-PCF-TBL-002)
morie_datasets_tps_killed_and_seriously_injured(): Killed and Seriously Injured
morie_datasets_tps_layers(): List the TPS open-data layers included with morie.
morie_datasets_tps_major_crime(): TPS Major Crime Indicators feed.
morie_datasets_tps_mha_apprehensions(): TPS Mental Health Act Apprehensions (PSDP)
morie_datasets_tps_miscellaneous_calls_for_service(): Miscellaneous Calls for Service (ASR-CS-TBL-002)
morie_datasets_tps_miscellaneous_data(): Miscellaneous Data (ASR-MISC-TBL-001)
morie_datasets_tps_miscellaneous_firearms(): Miscellaneous Firearms (ASR-F-TBL-003)
morie_datasets_tps_motorcylist_ksi(): Motorcylist KSI
morie_datasets_tps_neighbourhood_crime_rates(): Neighbourhood Crime Rates Open Data
morie_datasets_tps_passenger_ksi(): Passenger KSI
morie_datasets_tps_patrol_zone(): Patrol Zone
morie_datasets_tps_pedestrian_ksi(): Pedestrian KSI
morie_datasets_tps_personnel_by_command(): Personnel by Command (ASR-PB-TBL-004)
morie_datasets_tps_personnel_by_rank(): Personnel by Rank (ASR-PB-TBL-002)
morie_datasets_tps_personnel_by_rank_by_division(): Personnel by Rank by Division (ASR-PB-TBL-003)
morie_datasets_tps_persons_in_crisis_calls_for_service_attended(): Persons in Crisis Calls for Service Attended Open Data
morie_datasets_tps_police_divisions(): Toronto Police Service police division boundaries
morie_datasets_tps_psdp_resolved(): One-call TPS PSDP data + boundary metadata join
morie_datasets_tps_regulated_interactions(): Regulated Interactions (ASR-RI-TBL-001)
morie_datasets_tps_reported_crimes(): Reported Crimes (ASR-RC-TBL-001)
morie_datasets_tps_robbery(): TPS PSDP – Robbery
morie_datasets_tps_search_of_persons(): Search of Persons (ASR-SP-TBL-001)
morie_datasets_tps_shooting_firearm_discharges(): TPS PSDP – Shooting and Firearm Discharges
morie_datasets_tps_shootings(): TPS Shootings and Firearm Discharges feed.
morie_datasets_tps_staffing_by_command(): Staffing_by_Command
morie_datasets_tps_theft_from_motor_vehicle(): TPS PSDP – Theft From Motor Vehicle
morie_datasets_tps_theft_over(): TPS PSDP – Theft Over
morie_datasets_tps_tickets_issued(): Tickets Issued (ASR-ENF-TBL-002)
morie_datasets_tps_top_20_offences_of_firearm_seizures(): Top 20 Offences of Firearm Seizures (ASR-F-TBL-002)
morie_datasets_tps_total_public_complaints(): Total Public Complaints (ASR-PCF-TBL-001)
morie_datasets_tps_traffic_collisions(): Traffic Collisions Open Data (ASR-T-TBL-001)
morie_datasets_tps_use_of_force_call_for_service_types(): Use of Force: Call for Service Types (RBDC-UOF-TBL-004)
morie_datasets_tps_use_of_force_call_sources_by_month(): Use of Force: Call Sources by Month (RBDC-UOF-TBL-001)
morie_datasets_tps_use_of_force_gender_composition(): Use of Force: Gender Composition (RBDC-UOF-TBL-006)
morie_datasets_tps_use_of_force_location_of_occurrences(): Use of Force: Location of Occurrences (RBDC-UOF-TBL-003)
morie_datasets_tps_use_of_force_occurrence_category(): Use of Force: Occurrence Category (RBDC-UOF-TBL-005)
morie_datasets_tps_use_of_force_time_of_day_trends(): Use of Force: Time of Day Trends (RBDC-UOF-TBL-002)
morie_datasets_tps_use_of_force_use_of_force_types_and_perceived_weapons(): Use of Force: Use of Force Types and Perceived Weapons (RBDC-UOF-TBL-007)
morie_datasets_tps_victims_of_crime(): Victims of Crime (ASR-VC-TBL-001)
morie_datasets_vancouver_opendata_by_id(): Fetch records from a Vancouver Open Data dataset by ID
morie_datasets_vancouver_opendata_layers(): Vancouver Open Data full dataset catalog (Opendatasoft v2.1)
morie_datasets_vpd_crime(): Load Vancouver Police Department crime incident data
morie_datasets_vpd_legal_disclaimer(): Read VPD's legal disclaimer (included verbatim from the zip)
morie_datasets_vancouver_graffiti() morie_datasets_vancouver_noise_control_areas() morie_datasets_vancouver_homeless_shelters() morie_datasets_vancouver_property_use_inspection_districts() morie_datasets_vancouver_fire_halls() morie_datasets_vancouver_community_centres() morie_datasets_vancouver_community_food_markets() morie_datasets_vancouver_disability_parking() morie_datasets_vancouver_public_art(): Included Vancouver Open Data crime-adjacent civic datasets
morie_dataset_catalog(): List all datasets in the MORIE catalog
morie_dataset_column_profile(): Build a single-column profile record.
morie_dataset_detect_role(): Detect the suggested epidemiological role of a column.
morie_dataset_infer_level(): Infer the Stevens NOIR measurement level for a single vector.
morie_dataset_info(): Get metadata for a single dataset
morie_dataset_load(): Load a dataset from a CSV / TSV / Excel / Parquet / JSON file.
morie_dataset_portal_catalog(): Build the cross-portal dataset catalog
morie_dataset_portal_catalog_clear_cache(): Clear the session-scoped portal-catalog cache
morie_dataset_profile(): Fully profile a data frame without prior schema knowledge.
morie_dataset_profile_summary_table(): Render a human-readable dataset profile summary table.
morie_dataset_profile_to_list(): Serialize a dataset profile to a plain nested list.
morie_dataset_suggest_plan(): Suggest an ordered analysis plan based on a dataset profile.
morie_dataset_summarize_column(): Compute level-appropriate summary statistics for one column.
morie_cpads_canonicalize_frame(): Canonicalize raw CPADS PUMF columns into morie's analysis schema.
morie_cpads_contract(): Return the CPADS analysis-frame contract.
morie_cpads_has_raw_columns(): Detect whether a data frame looks like raw CPADS PUMF data.
morie_cpads_infer_file_format(): Infer the on-disk file format for a CPADS file path.
morie_cpads_missing_variables(): Identify missing canonical CPADS variables in a column set.
morie_cpads_validate_frame(): Validate a data frame against the canonical CPADS analysis contract.
morie_cache_clear(): Clear morie's persistent cache directory
morie_cache_dir(): morie cache contract
morie_cache_file(): Cache local RDS/CSV data into the SQLite database
morie_cache_list(): List all tables in the MORIE cache
morie_cache_load(): Load a table from the MORIE cache
morie_cache_store(): Store a data frame in the MORIE cache

Data ingestion & fetching

Pull tables from open-data portals (CKAN, Socrata, StatCan, CIHI).

morie_ingest_bigquery_build_sql(): Build a parameter-safe BigQuery SELECT
morie_ingest_bigquery_query(): Execute a BigQuery SQL query and return a data.frame
morie_ingest_bigquery_table(): Pull a BigQuery table (or filtered slice) into a data.frame
morie_ingest_chicago_crime(): Pull the City of Chicago "Crimes - 2001 to Present" feed
morie_ingest_chicago_crime_bigquery(): BigQuery mirror of the Chicago crime feed
morie_ingest_chicago_resources(): Built-in Chicago / Socrata resource registry
morie_ingest_chicago_socrata(): Fetch every row from a Socrata SoDA JSON endpoint
morie_ingest_cihi_xlsx(): Download a CIHI indicator .xlsx data table
morie_ingest_ckan_fetch_package_csvs(): Fetch every CSV / TSV resource in a CKAN package
morie_ingest_ckan_package_search(): Search a CKAN portal for packages (raw)
morie_ingest_ckan_package_show(): Fetch one CKAN package's metadata
morie_ingest_ckan_read_resource(): Download a CKAN resource as a data.frame
morie_ingest_ckan_resource_show(): Fetch one CKAN resource's metadata
morie_ingest_ckan_search_packages(): Search a CKAN portal and return a flat metadata data.frame
morie_ingest_forensics_namus_missing(): Pull NamUs missing-persons case metadata
morie_ingest_forensics_nibrs(): Pull FBI NIBRS offence-event records via Crime Data Explorer
morie_ingest_forensics_nist_rds(): Pull NIST Reference Datasets (RDS) catalog metadata
morie_ingest_statcan_cansim(): Fetch a Statistics Canada NDM / cansim table
morie_ingest_statcan_csv(): Download a StatCan PUMF / CSV product
morie_ingest_statcan_vectors(): Fetch StatCan series by vector ID (keyless WDS, latest-N periods)
morie_ingest_tps_feature_layer(): Fetch every feature from a TPS ArcGIS FeatureServer layer
morie_ingest_tps_fetch(): Fetch a TPS open-data layer by short name
morie_ingest_tps_layers(): Built-in TPS open-data layer registry
morie_fetch(): Fetch a dataset from any URL, with automatic format detection
morie_fetch_arcgis(): Query an ArcGIS FeatureServer / MapServer layer
morie_fetch_ckan(): Fetch data from the CKAN API and cache it
morie_fetch_csv(): Read CSV/TSV natively
morie_fetch_html(): Parse HTML natively (tolerant tag scanner, pure R)
morie_fetch_json(): Parse JSON text natively (pure R)
morie_fetch_parquet(): Minimal native Parquet reader (pure R)
morie_fetch_siu(): Fetch the Ontario SIU corpus into a 64-column SIU.csv
morie_fetch_tps(): Fetch a TPS category from the Toronto Police ArcGIS REST endpoint
morie_fetch_unified(): Unified fetch dispatcher
morie_fetch_xml(): Parse XML natively into a list tree (pure R)

Causal inference: difference-in-differences

Staggered DiD, event studies, and modern heterogeneity-robust estimators.

morie_did(): Difference-in-differences with automatic staggered-design handling
morie_did_2x2(): Classic 2x2 Difference-in-Differences estimator
morie_did_aggregate_gt_att(): Aggregate group-time ATTs into summary parameters
morie_did_bacon_decomposition(): Goodman-Bacon decomposition of the TWFE DiD estimator
morie_did_borusyak(): Borusyak, Jaravel & Spiess (2024) imputation estimator
morie_did_chaisemartin_dhaultfoeuille(): Heterogeneity-robust DiD (de Chaisemartin & D'Haultfoeuille, 2020)
morie_did_continuous_treatment(): DiD with a continuous (dose) treatment
morie_did_diagnostics(): Comprehensive diagnostics for a 2x2 DiD setting
morie_did_did2s(): Gardner (2022) two-stage difference-in-differences
morie_did_doubly_robust(): Doubly-robust DiD (Sant'Anna & Zhao, 2020)
morie_did_event_study(): Event-study DiD specification
morie_did_fuzzy(): Fuzzy DiD (LATE) via 2SLS
morie_did_group_time_att(): Callaway–Sant'Anna group-time average treatment effects
morie_did_heterogeneous(): Heterogeneity-robust DiD by sub-group / moderator quantile
morie_did_honest_sensitivity(): Honest (relative-magnitudes) sensitivity for event-study estimates
morie_did_panel_fe(): Two-way fixed-effects DiD (panel)
morie_did_parallel_trends_data(): Group-by-time outcome means for parallel-trends visualisation
morie_did_placebo_test_group(): Placebo DiD on sub-groups expected to be unaffected
morie_did_placebo_test_outcome(): Placebo DiD on outcomes that should be unaffected
morie_did_placebo_test_time(): Placebo DiD at fake treatment times
morie_did_repeated_cross_section(): Repeated cross-section DiD (optionally weighted)
morie_did_sensitivity_analysis(): Sensitivity of DiD estimate to parallel-trends violations
morie_did_staggered(): Staggered DiD via group-time ATTs with aggregation
morie_did_sun_abraham(): Sun & Abraham (2021) interaction-weighted event study
morie_did_synthdid_estimate(): Synthetic DiD, explicit-name API (native)
morie_did_synthetic(): Synthetic Difference-in-Differences (Arkhangelsky et al., 2021)
morie_did_test_parallel_trends(): Pre-trend test for parallel trends
morie_did_triple_difference(): Triple-difference (DDD) estimator
morie_did_twoway_fe_weights(): Diagnose TWFE-DiD weights (de Chaisemartin & D'Haultfoeuille, 2020)
morie_did_wild_cluster_bootstrap(): DiD with wild cluster bootstrap p-values (Cameron-Gelbach-Miller, 2008)

Causal inference: IV & regression discontinuity

morie_iv_2sls(): Two-stage least squares with a weak-instrument refusal gate
morie_iv_anderson_rubin(): Anderson-Rubin (AR) weak-IV-robust test
morie_iv_anderson_rubin_ci(): Grid-based Anderson-Rubin confidence interval for a single endogenous variable.
morie_iv_conditional_lr(): Conditional likelihood-ratio (CLR) test of Moreira (2003)
morie_iv_control_function(): Control-function (residual augmentation) IV
morie_iv_cragg_donald(): Cragg-Donald weak-instrument F statistic
morie_iv_cue_gmm(): Continuously-Updated GMM (CUE-GMM)
morie_iv_diagnostics(): Composite IV diagnostics
morie_iv_durbin_wu_hausman(): Durbin-Wu-Hausman test of endogeneity
morie_iv_first_stage_diagnostics(): First-stage F-statistics and partial R^2
morie_iv_gmm(): Generalised Method of Moments (GMM) IV
morie_iv_hansen_j(): Hansen J test of overidentifying restrictions (robust)
morie_iv_hausman(): Hausman test: OLS vs 2SLS
morie_iv_jive(): Jackknife IV (JIVE; Angrist, Imbens & Krueger 1999)
morie_iv_kleibergen_paap(): Kleibergen-Paap rank statistic
morie_iv_liml(): Limited-Information Maximum Likelihood (LIML)
morie_iv_panel(): Panel IV with unit (and optional time) fixed effects via within-transform
morie_iv_probit(): IV Probit (Rivers-Vuong control function)
morie_iv_residual_analysis(): IV residual analysis
morie_iv_sargan(): Sargan test of overidentifying restrictions (homoskedastic)
morie_iv_split_sample(): Split-sample IV
morie_iv_stock_yogo(): Stock-Yogo critical values
morie_iv_tsls(): Two-Stage Least Squares (2SLS)
morie_iv_wald(): Wald (single-instrument) estimator
morie_rdd(): Sharp / fuzzy regression discontinuity with bundled diagnostics
morie_rdd_bandwidth_cct(): Calonico-Cattaneo-Titiunik (CCT) MSE-optimal bandwidth
morie_rdd_bandwidth_ik(): Imbens-Kalyanaraman (IK) MSE-optimal bandwidth
morie_rdd_bandwidth_rot(): Rule-of-thumb (ROT) bandwidth – Silverman-style on running variable
morie_rdd_bandwidth_sensitivity(): Bandwidth sensitivity sweep
morie_rdd_bias_corrected(): CCT bias-corrected, robust-SE RDD inference
morie_rdd_cattaneo_density(): Cattaneo-Jansson-Ma (2020) local-polynomial density test
morie_rdd_covariate_balance(): Covariate balance at the cutoff
morie_rdd_density_test(): McCrary-style RD density test via rddensity
morie_rdd_discrete(): RDD with discrete running variable
morie_rdd_donut(): Donut-hole RDD
morie_rdd_fuzzy(): Fuzzy RDD treatment effect via instrumented Wald ratio
morie_rdd_geographic(): Geographic / boundary RDD on a signed distance
morie_rdd_kernel_triangular() morie_rdd_kernel_epanechnikov() morie_rdd_kernel_uniform() morie_rdd_kernel_gaussian(): RDD kernel functions
morie_rdd_kink(): Regression kink design – slope discontinuity at the cutoff
morie_rdd_local_polynomial(): Local polynomial regression at user-supplied evaluation points
morie_rdd_local_randinf(): Local-randomisation RDD inference via rdlocrand
morie_rdd_local_randomisation(): Local-randomisation RDD via permutation in a fixed window
morie_rdd_mccrary(): McCrary (2008) density manipulation test
morie_rdd_placebo_cutoff(): Placebo cutoff falsification test
morie_rdd_plot_data(): Binned scatter + global-polynomial data for an RD plot
morie_rdd_power(): RDD power calculation
morie_rdd_power_calc(): Power calculations for RDD designs via rdpower
morie_rdd_sample_size(): RDD sample-size determination
morie_rdd_sharp(): Sharp RDD treatment effect at the cutoff

Matching & weighting

Propensity, Mahalanobis, optimal/genetic matching and IPW families.

morie_matching_abadie_imbens_se(): Abadie-Imbens standard error for matching estimators
morie_matching_atc_matched(): ATC from a matched sample
morie_matching_ate_matched(): ATE from a matched / weighted sample
morie_matching_att_matched(): ATT from a matched sample
morie_matching_balance(): Balance diagnostics for matched / weighted samples
morie_matching_balance_table(): Publication-ready balance table
morie_matching_cardinality(): Cardinality matching
morie_matching_cem(): Coarsened Exact Matching (CEM)
morie_matching_common_support(): Restrict a sample to the region of common support
morie_matching_doubly_robust(): Doubly-robust ATT combining matching and regression
morie_matching_entropy_balance(): Entropy balancing weights (Hainmueller, 2012)
morie_matching_estimate_propensity(): Estimate propensity scores
morie_matching_exact(): Exact matching on discrete covariates
morie_matching_full(): Full matching via subclassification
morie_matching_genetic(): Genetic matching (Diamond & Sekhon, 2013)
morie_matching_longitudinal(): Longitudinal matching for panel data
morie_matching_love_plot_data(): Love-plot data: pre- vs post-matching balance
morie_matching_mahalanobis(): Mahalanobis distance matching
morie_matching_multi_treatment(): Matching with multiple (> 2) treatment groups
morie_matching_nearest_neighbor(): Nearest-neighbour propensity-score matching
morie_matching_optimal_pair(): Optimal pair matching
morie_matching_overlap(): Propensity-score overlap diagnostics
morie_matching_quality(): Comprehensive matching-quality assessment
morie_matching_rosenbaum_bounds(): Rosenbaum bounds for hidden bias
morie_matching_subclassify(): Subclassification (stratification) on the propensity score
morie_matching_trim_propensity(): Trim propensity scores to a fixed range
morie_matching_variable_ratio(): Variable-ratio matching on propensity score
morie_weight_cbps(): Covariate-balancing propensity score (Imai & Ratkovic 2014)
morie_weight_diagnostic(): Balance diagnostics for a morie_weight object
morie_weight_entropy(): Entropy-balancing weights (Hainmueller 2012)
morie_weight_ow(): Overlap weights (Li, Morgan & Zaslavsky 2018)
morie_weight_ps(): Propensity-score weights (logistic base learner)
morie_weight_stabilized(): Stabilized IPW (Austin 2009 / Robins et al. 2000)
morie_weight_super(): SuperLearner-style ensemble propensity weights
morie_weight_trimming(): Trim extreme weights from a morie_weight object
morie_weights_bootstrap(): Bootstrap replicate weights (Rao-Wu rescaling within strata).
morie_weights_brr(): Balanced Repeated Replication (BRR) weights.
morie_weights_calibrate_to_totals(): Dispatch helper – calibrate to totals via "raking" or "greg".
morie_weights_combined(): Combined design x nonresponse x post-strat (x trim) pipeline.
morie_weights_deff(): Kish design effect (n / ESS).
morie_weights_design(): Design weights from inclusion probabilities.
morie_weights_detect_extreme(): Detect extreme weights at +/- k * IQR or by absolute percentile.
morie_weights_diagnostics(): Comprehensive weight diagnostics.
morie_weights_ess(): Kish effective sample size: \((\sum w_i)^2 / \sum w_i^2\).
morie_weights_fay_brr(): Fay's BRR weights with perturbation coefficient fay_coefficient in [0,1).
morie_weights_greg(): Generalised regression (GREG) calibration.
morie_weights_jackknife(): Jackknife replicate weights (JK1 delete-1 or JKn stratified delete-n).
morie_weights_multiframe(): Multi-frame (dual-frame) survey weights (Hartley compositing).
morie_weights_nonresponse(): Non-response adjustment within cells.
morie_weights_normalize(): Normalise weights so they sum to n (sample) or N (population).
morie_weights_poststratify(): Post-stratification weight adjustment.
morie_weights_propensity_nonresponse(): Propensity-score non-response weights (logistic).
morie_weights_rake(): Raking calibration (iterative proportional fitting).
morie_weights_replicate_variance(): Variance estimation from replicate estimates.
morie_weights_sdr(): Successive Difference Replication (SDR) weights.
morie_weights_smooth(): Smooth survey weights via shrinkage toward the mean (or log-mean).
morie_weights_trim(): Trim extreme weights at percentile cutpoints.

Sensitivity analysis & fairness

morie_sensitivity_evalue(): E-values for the EValue dispatch family (extender)
morie_sensitivity_konfound(): Konfound robustness for a coefficient (konfound extender)
morie_sensitivity_omitted_var_bias(): Omitted-variable bias on a fitted model (sensemakr extender)
morie_sensitivity_rosenbaum(): Rosenbaum bounds sensitivity analysis
morie_sensitivity_tipping_point(): Tipping-point sensitivity to a single unmeasured confounder (tipr)
morie_fairness_apply_profile(): Rename a city data.frame onto the canonical audit schema
morie_fairness_average_odds_difference(): Average Odds Difference (mean of TPR and FPR gaps)
morie_fairness_bias_amplification(): Bias Amplification Score (parity gap x Gini of group rates)
morie_fairness_city_profile(): Construct a city profile (column map onto the canonical audit schema)
morie_fairness_column_map(): Column map for a city profile
morie_fairness_demographic_parity(): Demographic Parity Gap (difference in favourable-outcome rates)
morie_fairness_disparate_impact(): Disparate Impact Ratio (EEOC four-fifths / 80% rule)
morie_fairness_equalized_odds(): Equalized Odds (TPR / FPR gaps across groups)
morie_fairness_get_city(): Look up a registered city profile by case-insensitive name
morie_fairness_gini(): Gini coefficient (concentration of a non-negative distribution)
morie_fairness_list_cities(): List registered city profile names
morie_fairness_noisy_or_detection(): Noisy-OR patrol-detection probabilities
morie_fairness_predpol: Predictive-policing disparity audit (port of morie.fairness.predpol)
morie_fairness_predpol_aggregate_areas(): Aggregate per-record predictive-policing data to per-area
morie_fairness_predpol_calibration_audit(): Predicted-vs-realised rank audit by demographic group
morie_fairness_predpol_score_disparity(): Descriptive score-by-group disparity
morie_fairness_predpol_temporal_audit(): Audit how disparity metrics move over time and across cities
morie_fairness_register_city(): Register a city profile in the process-local registry
morie_fairness_simulate_biased_crime_data(): Synthetic predictive-policing dataset with a known disparity
morie_fairness_simulation: Simulation primitives for the predictive-policing audit subsystem
morie_fairness_xai: Model-agnostic explainability (XAI) for bias discovery
morie_fairness_xai_ale(): First-order Accumulated Local Effects (Apley & Zhu)
morie_fairness_xai_ceteris_paribus(): Ceteris-paribus profile for one instance
morie_fairness_xai_partial_dependence(): Partial dependence on one feature (Friedman)
morie_fairness_xai_permutation_importance(): Permutation feature importance (model-agnostic)
morie_fairness_xai_shap_values(): Shapley feature attributions for one instance (sampling estimator)

Spatial analysis

Geostatistics, kriging, autocorrelation, and scan statistics.

morie_spatial(): Construct a spatial data object
morie_spatial_cluster(): Spatial clustering of the coordinates
morie_spatial_coords(): Coordinate matrix of a spatial object
morie_spatial_crs(): CRS of a spatial object (EPSG + WKT2-style label)
morie_spatial_distance(): Distance matrix for a spatial object
morie_spatial_krige(): Ordinary kriging predictions at new locations
morie_spatial_leaflet_spec(): Specification for an interactive (leaflet) map
morie_spatial_moran(): Global Moran's I on a spatial object
morie_spatial_neighbors(): Construct spatial neighbours
morie_spatial_sample(): Sample points from a spatial object, optionally by local density
morie_spatial_transform(): Reproject a spatial object between CRS (4326 <-> 3857)
morie_spatial_variogram(): Empirical semivariogram
morie_spatial_variogram_fit(): Fit a variogram model by Gaussian maximum likelihood
morie_spatial_voting_aldrich_mckelvey(): Aldrich-McKelvey scaling
morie_spatial_voting_alpha_nominate(): Alpha-NOMINATE (stub)
morie_spatial_voting_anchoring_vignettes(): Anchoring vignettes for DIF correction
morie_spatial_voting_bayesian_am(): Bayesian Aldrich-McKelvey scaling (stub)
morie_spatial_voting_bayesian_irt_likelihood(): Bayesian IRT likelihood (deterministic part of CJR machinery)
morie_spatial_voting_bayesian_irt_posterior(): Posterior summaries for a Bayesian IRT chain
morie_spatial_voting_bayesian_mds(): Bayesian MDS (stub) – log-normal distances via Metropolis
morie_spatial_voting_bayesian_unfolding(): Bayesian unfolding (stub) – Bakker & Poole sampler
morie_spatial_voting_blackbox(): Blackbox / Basic Space scaling
morie_spatial_voting_cjr_irt(): Clinton-Jackman-Rivers Bayesian IRT (stub)
morie_spatial_voting_classical_mds(): Classical (metric) multidimensional scaling
morie_spatial_voting_cutting_lines(): Cutting-line endpoints for Coombs-mesh plots
morie_spatial_voting_double_centering(): Double-center a distance matrix
morie_spatial_voting_dw_nominate(): DW-NOMINATE dynamic weighted ideal-point estimator
morie_spatial_voting_dynamic_irt(): Dynamic IRT with random-walk priors (stub)
morie_spatial_voting_em_irt(): EM algorithm for binary IRT
morie_spatial_voting_ideal_point_recovery(): Ideal-point recovery from unfolding output
morie_spatial_voting_indscal(): INDSCAL: weighted MDS with individual differences
morie_spatial_voting_mds_fit_stats(): MDS fit statistics (Mardia criterion)
morie_spatial_voting_mlsmu6(): MLSMU6 alternating least-squares unfolding
morie_spatial_voting_nominate_bootstrap(): Parametric bootstrap of NOMINATE standard errors
morie_spatial_voting_nominate_loglik(): NOMINATE log-likelihood and GMP
morie_spatial_voting_nominate_utility(): NOMINATE Gaussian utility
morie_spatial_voting_nominate_vote_prob(): Single NOMINATE vote probability
morie_spatial_voting_nonmetric_mds(): Nonmetric MDS with isotonic regression
morie_spatial_voting_nonparametric_bootstrap(): Nonparametric bootstrap for AM / blackbox scaling positions
morie_spatial_voting_normal_vectors(): Normal-vector projection of an external measure
morie_spatial_voting_optimal_classification(): Optimal Classification scaling
morie_spatial_voting_ordered_oc(): Ordered Optimal Classification for ordinal scales
morie_spatial_voting_ordinal_irt(): Ordinal IRT / Quinn factor model (stub)
morie_spatial_voting_procrustes(): Procrustes rotation
morie_spatial_voting_smacof(): SMACOF stress minimisation
morie_spatial_voting_smacof_unfolding(): SMACOF rectangular unfolding
morie_spatial_voting_unfolding_stress(): Compute unfolding stress
morie_spatial_voting_wordfish(): Wordfish: Poisson IRT for document-term matrices
morie_spatial_weights(): Spatial weights from a neighbour matrix

Time series

morie_ts(): Construct a validated time series
morie_ts_accuracy(): Forecast accuracy metrics
morie_ts_acf(): Ordered autocorrelation / autocovariance of a series
morie_ts_arima(): Fit an ARIMA / SARIMA model
morie_ts_backtest(): Back-test a forecasting configuration on a holdout tail
morie_ts_decompose(): Decompose a seasonal time series
morie_ts_difference(): Difference a series, retaining the information to reverse it
morie_ts_forecast(): Forecast from a fitted time-series model
morie_ts_select(): Select ARIMA orders by information criterion
morie_ts_stationarity(): Test a series for stationarity
morie_ts_trim_forecast(): Trim a forecast to a maximum prediction-interval width
morie_ts_undifference(): Reverse morie_ts_difference()
morie_tsboot(): Native block bootstrap for time series
morie_tsne_reduction(): t-SNE for non-linear dimension reduction (R parity)

Signal processing

Spectral analysis, filters, and biomedical-signal routines.

morie_dsp_acf_from_psd(): Autocorrelation from PSD (Wiener-Khinchin)
morie_dsp_alpha_trimmed_mean(): Alpha-trimmed mean filter
morie_dsp_amplitude_histogram(): Amplitude histogram features
morie_dsp_arc_length(): Signal arc length
morie_dsp_band_power(): Bandpower over [f_low, f_high]
morie_dsp_baseline_correlation(): Baseline-corrected Pearson correlation
morie_dsp_centroidal_time(): Centroidal time
morie_dsp_coherence(): Coherence-squared spectrum
morie_dsp_coherence_spectrum(): Coherence spectrum (alias to morie_dsp_coherence)
morie_dsp_comb(): Comb filter built from cascaded notches
morie_dsp_complex_cepstrum(): Complex cepstrum
morie_dsp_complex_demodulation(): Complex demodulation around a carrier
morie_dsp_crest_factor(): Crest factor (peak / RMS)
morie_dsp_cross_correlation(): Normalised cross-correlation up to a maximum lag
morie_dsp_csd(): Cross-spectral density (Welch)
morie_dsp_cv(): Coefficient of variation
morie_dsp_derivative_detect(): Derivative-based peak detection
morie_dsp_dicrotic_notch(): Dicrotic-notch detection in pulse waves
morie_dsp_ensemble_average(): Ensemble average over fixed-length segments
morie_dsp_entropy_histogram(): Shannon entropy from amplitude histogram
morie_dsp_even_odd(): Even-odd decomposition of a finite signal
morie_dsp_fbm_synthesis(): Fractional Brownian motion synthesis (1/f^beta)
morie_dsp_form_factor(): Form factor (RMS / mean-absolute)
morie_dsp_fractal_dim_psd(): Fractal dimension from log-log PSD slope
morie_dsp_hann_filter(): Hann-windowed smoothing filter
morie_dsp_higuchi_fd(): Higuchi fractal dimension
morie_dsp_hilbert_envelope(): Hilbert envelope
morie_dsp_hjorth(): All three Hjorth parameters
morie_dsp_hjorth_activity(): Hjorth activity (variance)
morie_dsp_hjorth_complexity(): Hjorth complexity
morie_dsp_hjorth_mobility(): Hjorth mobility
morie_dsp_homomorphic(): Homomorphic high-pass filter
morie_dsp_hr_from_rr(): Heart rate from RR intervals (BPM)
morie_dsp_integrated_emg(): Integrated EMG (sum of absolute values)
morie_dsp_katz_fd(): Katz / box-counting fractal dimension
morie_dsp_lms(): LMS adaptive filter (Widrow-Hoff)
morie_dsp_matched(): Matched filter (time-reversed template correlator)
morie_dsp_mean_abs(): Mean absolute value
morie_dsp_mean_frequency(): Mean frequency from PSD
morie_dsp_median_filter(): Median filter
morie_dsp_median_frequency(): Median frequency from PSD
morie_dsp_min_phase(): Minimum-phase correspondent via cepstral folding
morie_dsp_moving_average(): Moving-average filter (boxcar)
morie_dsp_myopulse_rate(): Myopulse percentage rate
morie_dsp_nlms(): NLMS adaptive filter
morie_dsp_notch(): IIR notch filter (single frequency)
morie_dsp_onset_detect(): Energy-onset detection
morie_dsp_pan_tompkins(): Pan-Tompkins QRS detector
morie_dsp_parzen_pdf(): Parzen kernel density estimate
morie_dsp_psd_bartlett(): Bartlett PSD estimate
morie_dsp_psd_periodogram(): Periodogram PSD estimate
morie_dsp_psd_to_db(): Convert PSD to decibels
morie_dsp_psd_welch(): Welch PSD estimate (rmorie native)
morie_dsp_qrs_features(): QRS-style waveform descriptors
morie_dsp_rls(): RLS adaptive filter
morie_dsp_rms(): Root mean square
morie_dsp_ruler_fd(): Ruler / divider fractal dimension
morie_dsp_shannon_energy(): Shannon-energy envelope
morie_dsp_shape_factor(): Shape factor (mean-absolute / mean-sqrt-absolute-squared)
morie_dsp_slope_sign_changes(): Slope sign changes
morie_dsp_snr(): Signal-to-noise ratio estimate (dB)
morie_dsp_snr_improvement(): SNR improvement attributable to a filter (dB)
morie_dsp_spectral_edge(): Spectral edge frequency (e.g. SEF95)
morie_dsp_spectral_entropy(): Spectral entropy (Shannon, base 2)
morie_dsp_spectral_flatness(): Spectral flatness (Wiener entropy)
morie_dsp_spectral_kurtosis(): Spectral kurtosis from PSD
morie_dsp_spectral_moment(): k-th spectral moment
morie_dsp_spectral_ratio(): Spectral power ratio between two bands
morie_dsp_synchronized_average(): Synchronized average around trigger indices
morie_dsp_t_wave(): T-wave detection by post-QRS argmax search
morie_dsp_teager_energy(): Teager-Kaiser energy operator
morie_dsp_template_match(): Normalised template matching
morie_dsp_threshold_detect(): Threshold-based event detection
morie_dsp_turning_points(): Turning-points stationarity test
morie_dsp_turns_count(): Willison turns count
morie_dsp_variance_ratio(): Variance ratio (x vs. y)
morie_dsp_waveform_length(): Waveform length (total variation)
morie_dsp_waveform_length_norm(): Per-sample (normalised) waveform length
morie_dsp_wiener_filter(): Wiener filter (frequency domain)
morie_dsp_wiener_hopf(): Solve the Wiener-Hopf normal equations
morie_dsp_willison_amplitude(): Willison amplitude
morie_dsp_window(): Window function generator
morie_dsp_zero_crossing(): Zero-crossing rate

Survival analysis

morie_survival_aft(): Accelerated failure time model (parametric).
morie_survival_cif(): Cumulative incidence function (Aalen-Johansen) for competing risks.
morie_survival_compare_parametric(): Compare parametric survival models by AIC/BIC.
morie_survival_concordance(): Harrell's concordance index (C-statistic).
morie_survival_cox(): Cox proportional hazards model.
morie_survival_coxsnell(): Cox-Snell residuals from a fitted morie Cox model.
morie_survival_deviance(): Deviance residuals.
morie_survival_finegray(): Fine-Gray subdistribution hazard model (competing risks).
morie_survival_hr(): Hazard ratio between two groups via a simple Cox model.
morie_survival_km(): Kaplan-Meier product-limit survival estimator.
morie_survival_landmark(): Landmark dataset constructor.
morie_survival_left_truncated_km(): Left-truncated Kaplan-Meier with delayed entry.
morie_survival_logrank(): Log-rank family tests (logrank / Peto-Peto / Gehan / Tarone-Ware).
morie_survival_martingale(): Martingale residuals.
morie_survival_nelsonaalen(): Nelson-Aalen cumulative-hazard estimator.
morie_survival_parametric(): Simple parametric survival models (intercept-only).
morie_survival_rmst(): Restricted Mean Survival Time (RMST).
morie_survival_rmst_diff(): Difference in RMST between two groups.
morie_survival_schoenfeld(): Schoenfeld residuals + PH-assumption test.
morie_survival_turnbull(): Turnbull NPMLE for interval-censored data.

Bayesian methods & distributions

morie_bayes_compare(): Compare posterior means against an external (lm) reference
morie_bayes_continue(): Continue an MCMC run from its final state
morie_bayes_cpi_genomic(): BayesC-pi spike-and-slab variable selection (short Gibbs)
morie_bayes_density(): Posterior density plot for one parameter (BS6.3)
morie_bayes_diagnostics(): All convergence diagnostics for a fit (details of each checker used)
morie_bayes_ess(): Effective sample size (per parameter, autocorrelation-based)
morie_bayes_geweke(): Geweke convergence diagnostic (z-score comparing chain segments)
morie_bayes_lm(): Fit a Bayesian linear regression by random-walk Metropolis
morie_bayes_plot(): Default MCMC plot (trace, density, or both)
morie_bayes_rhat(): Gelman-Rubin R-hat for a set of MCMC chains
morie_bayes_ridge_gibbs(): BayesA via short Gibbs sampler (Meuwissen-Hayes-Goddard 2001)
morie_bayesian_lasso_full(): Bayesian LASSO (Park & Casella 2008 short Gibbs)
morie_bayesian_ridge_regression(): Bayesian ridge regression (RR-BLUP closed form)
morie_ghosal_adaptation(): Adaptive contraction rates over a smoothness grid.
morie_ghosal_bernstein_von_mises(): BvM diagnostic for the mean functional under a DP prior.
morie_ghosal_contraction_rate(): Minimax posterior-contraction rate
morie_ghosal_dirichlet_posterior(): Dirichlet-process posterior (conjugate update)
morie_ghosal_dpmixture_density(): DP mixture density estimate (Neal 2000 algorithm 3)
morie_ghosal_empirical_bayes(): Empirical-Bayes alpha MLE for a DP, given the observed K_n.
morie_ghosal_gp_matern(): GP posterior mean with Matern kernel.
morie_ghosal_gp_squared_exponential(): GP posterior mean with squared-exponential kernel.
morie_ghosal_hierarchical_bayes(): Escobar-West augmentation for alpha given K_n with a Gamma(a, b) hyperprior.
morie_ghosal_log_density(): Log-spline density estimator (Stone 1990, Ghosal Ch 8).
morie_ghosal_moment_matching(): Posterior mean / variance of G(A) for DP(alpha, G0) and A = (A_lower, A_upper].
morie_ghosal_neutral_right(): Neutral-to-the-right posterior survival (Doksum 1974).
morie_ghosal_np_classification(): Probit-GP classifier (Laplace approximation).
morie_ghosal_np_regression(): GP nonparametric regression
morie_ghosal_np_testing(): Polya-tree Bayes factor for H0: F = N(loc, scale^2).
morie_ghosal_posterior_consistency(): Schwartz posterior-consistency diagnostic (Bayesian bootstrap).
morie_ghosal_sieve_prior(): Bernstein-polynomial sieve density estimator (Petrone 1999).
morie_ghosal_stick_breaking_trunc(): Truncated stick-breaking representation of DP(alpha, G0).
morie_ghosal_survival_beta_process(): Beta-process posterior survival (Hjort 1990).
morie_ghosal_wavelet_prior(): Haar-wavelet spike-and-slab BayesThresh estimator (Abramovich 1998).
morie_dist_cdf(): Cumulative distribution function at points
morie_dist_integrate(): Integrate a function against a distribution's support, with checks
morie_dist_moment(): A moment of a distribution, analytically or by integration
morie_dist_pdf(): Density / mass of a distribution at points
morie_dist_quantile(): Quantile function
morie_dist_sum(): Sum a discrete distribution's mass (or a moment) with convergence check
morie_distribution(): Construct a general probability-distribution object

Machine learning

morie_ml_apply_smote(): Apply SMOTE oversampling to balance a binary outcome
morie_ml_assess(): Assess model performance
morie_ml_bake(): Apply (or reverse) a prepped recipe to data
morie_ml_center(): Center a numeric vector to a target mean
morie_ml_eval_robustness(): Evaluate Random Forest robustness
morie_ml_impute(): Mean/median/constant imputation of a numeric vector
morie_ml_load(): Load a trained model from disk
morie_ml_model(): Specify a supervised model without fitting it
morie_ml_prep(): Estimate recipe parameters from training data
morie_ml_recipe(): Specify a preprocessing recipe
morie_ml_resample(): Train + assess across resampling folds and combine the results
morie_ml_save(): Save a trained model to disk
morie_ml_scale(): Scale a numeric vector by a target standard deviation
morie_ml_split(): Partition data into train / test / validation sets
morie_ml_train(): Train a specified model
morie_ml_train_time(): Estimate time to train a model
morie_ml_tune(): Tune hyperparameters by cross-validated grid search

Survey methods

morie_survey_calibrate(): Raking calibration to known marginal totals (iterative proportional fitting).
morie_survey_complex_glm(): Complex-survey GLM constructor (single-shot wrapper that builds a design and fits a svyglm in one call). Cluster-robust SEs via the design.
morie_survey_design(): Construct a survey design object.
morie_survey_glm(): Survey-weighted GLM with design-based SEs.
morie_survey_hajek_mean(): Hajek (ratio) estimator of a population mean.
morie_survey_ht_total(): Horvitz-Thompson estimator of a population total.
morie_survey_mean(): Survey-weighted mean (delegates to survey::svymean when available).
morie_survey_poststratify(): Post-stratification weights (sample-to-population alignment).
morie_survey_ratio(): Ratio estimator of a population total using known X_pop.
morie_survey_subpop(): Subpopulation (domain) mean with Woodruff linearised SE.

Causal DAGs

DAG construction, backdoor identification, estimation, and refutation.

morie_dag(): Build a causal DAG
morie_dag_estimate(): Estimate the identified effect from data
morie_dag_identify(): Identify the causal effect in a DAG (backdoor criterion)
morie_dag_refute(): Refute an estimated causal effect

Applied study: OTIS (Ontario carceral data)

morie_otis_aipw_ate(): Doubly-robust (AIPW) ATE on OTIS data via cross-fitted nuisances.
morie_otis_aipw_superlearner(): SuperLearner-stacked AIPW on OTIS data (native)
morie_otis_all_analyses(): Run the full OTIS analysis capsule
morie_otis_all_analyze: Comprehensive per-dataset analyses for ALL 28 OTIS public-release files
morie_otis_analyze_a01(): OTIS a01 high-level causal analysis (MatchIt + IRM-DML).
morie_otis_analyze_a01_ruhela_alt_age() morie_otis_analyze_a01_mrm_alt_age(): a01 alt-T Ruhela: Age 50+ -> vm count.
morie_otis_analyze_a01_ruhela_alt_gender() morie_otis_analyze_a01_mrm_alt_gender(): a01 alt-T Ruhela: Female -> vm count.
morie_otis_analyze_a01_ruhela_alt_toronto() morie_otis_analyze_a01_mrm_alt_toronto(): a01 alt-T Ruhela: Toronto region -> vm count.
morie_otis_analyze_a01_ruhela_formulations() morie_otis_analyze_a01_dlrm() morie_otis_analyze_a01_mrm(): OTIS a01 Ruhela formulations (full DLRM).
morie_otis_analyze_a01_ruhela_per_year() morie_otis_analyze_a01_mrm_per_year(): Per-year full-DLRM on a01 canonical formulation.
morie_otis_analyze_a01_ruhela_subgroup_female() morie_otis_analyze_a01_mrm_subgroup_female(): a01 subgroup Ruhela: Female-only cell frame.
morie_otis_analyze_a01_ruhela_subgroup_male() morie_otis_analyze_a01_mrm_subgroup_male(): a01 subgroup Ruhela: Male-only cell frame.
morie_otis_analyze_a01_with_csi_context(): OTIS a01 causal pipeline + Toronto Crime Severity Index context.
morie_otis_analyze_all(): Run every OTIS analyzer against a named list of datasets
morie_otis_analyze_b01(): Person-level segregation-placement analysis (b01)
morie_otis_analyze_b01_ruhela_alt_age() morie_otis_analyze_b01_mrm_alt_age(): b01 alt-T Ruhela: Age 50+ -> vm count.
morie_otis_analyze_b01_ruhela_alt_gender() morie_otis_analyze_b01_mrm_alt_gender(): b01 alt-T Ruhela: Female -> vm count.
morie_otis_analyze_b01_ruhela_alt_toronto() morie_otis_analyze_b01_mrm_alt_toronto(): b01 alt-T Ruhela: Toronto region -> vm count.
morie_otis_analyze_b01_ruhela_formulations() morie_otis_analyze_b01_dlrm() morie_otis_analyze_b01_mrm(): OTIS b01 Ruhela formulations (full DLRM).
morie_otis_analyze_b01_ruhela_per_year() morie_otis_analyze_b01_mrm_per_year(): Per-year full-DLRM on b01 canonical formulation.
morie_otis_analyze_b01_ruhela_subgroup_female() morie_otis_analyze_b01_mrm_subgroup_female(): b01 subgroup Ruhela: Female-only cell frame.
morie_otis_analyze_b01_ruhela_subgroup_male() morie_otis_analyze_b01_mrm_subgroup_male(): b01 subgroup Ruhela: Male-only cell frame.
morie_otis_analyze_b02(): Aggregate segregation days per person per year (b02)
morie_otis_analyze_b02_ruhela_alt_age() morie_otis_analyze_b02_mrm_alt_age(): b02 alt-T Ruhela: Age 50+ -> total seg days.
morie_otis_analyze_b02_ruhela_alt_region() morie_otis_analyze_b02_mrm_alt_region(): b02 alt-T Ruhela: Toronto region -> total seg days.
morie_otis_analyze_b02_ruhela_formulations() morie_otis_analyze_b02_dlrm() morie_otis_analyze_b02_mrm(): OTIS b02 Ruhela formulations: T=Female -> seg-day count.
morie_otis_analyze_b03(): Segregation placements by alert x institution (b03)
morie_otis_analyze_b03_ruhela_aggregate() morie_otis_analyze_b03_mrm_aggregate(): b03 aggregate Ruhela: Alert presence -> seg placements.
morie_otis_analyze_b04(): Placement durations by region & gender (b04)
morie_otis_analyze_b04_ruhela_aggregate() morie_otis_analyze_b04_mrm_aggregate(): b04 aggregate Ruhela: Female -> median seg duration.
morie_otis_analyze_b05(): Distribution of placements by binned duration (b05)
morie_otis_analyze_b05_mandela_classification(): Mandela-RF on b05 – per-placement Mandela classification by year.
morie_otis_analyze_b05_ruhela_aggregate(): b05 aggregate Ruhela: schema-no-demographic guard.
morie_otis_analyze_b06(): Reasons for placement x institution x gender (b06)
morie_otis_analyze_b06_ruhela_aggregate() morie_otis_analyze_b06_mrm_aggregate(): b06 aggregate Ruhela: Disciplinary reason -> seg placements.
morie_otis_analyze_b07(): Alerts x gender (b07)
morie_otis_analyze_b07_ruhela_aggregate() morie_otis_analyze_b07_mrm_aggregate(): b07 aggregate Ruhela (pivot to long): With-alert -> seg placements.
morie_otis_analyze_b08(): Durations by institution & gender (b08)
morie_otis_analyze_b08_ruhela_aggregate() morie_otis_analyze_b08_mrm_aggregate(): b08 aggregate Ruhela: Female -> median seg duration (institution-clustered).
morie_otis_analyze_b09(): Individuals by number of placements x gender (b09)
morie_otis_analyze_b09_ruhela_aggregate() morie_otis_analyze_b09_mrm_aggregate(): b09 aggregate Ruhela: Female -> individuals in segregation.
morie_otis_analyze_c01(): Total individuals x custody/RC/seg x gender (c01)
morie_otis_analyze_c01_ruhela_aggregate() morie_otis_analyze_c01_mrm_aggregate(): c01 aggregate Ruhela: Female -> RC count.
morie_otis_analyze_c01_ruhela_aggregate_region_cluster() morie_otis_analyze_c01_mrm_aggregate_region_cluster(): c01 region-cluster variant (year-clustered GEE).
morie_otis_analyze_c02(): Individuals in RC/seg by institution (c02)
morie_otis_analyze_c02_ruhela_aggregate() morie_otis_analyze_c02_mrm_aggregate(): c02 aggregate Ruhela: Female -> RC (institution GEE).
morie_otis_analyze_c03(): Individuals x race x gender (c03)
morie_otis_analyze_c03_ruhela_aggregate() morie_otis_analyze_c03_mrm_aggregate(): c03 aggregate Ruhela: Indigenous -> RC.
morie_otis_analyze_c04(): Individuals in RC/seg by race x region (c04)
morie_otis_analyze_c04_ruhela_aggregate() morie_otis_analyze_c04_mrm_aggregate(): c04 aggregate Ruhela: Indigenous -> RC (by region).
morie_otis_analyze_c04_ruhela_aggregate_region_cluster() morie_otis_analyze_c04_mrm_aggregate_region_cluster(): c04 region-cluster variant.
morie_otis_analyze_c05(): Individuals in RC/seg by religion x region (c05)
morie_otis_analyze_c05_ruhela_aggregate() morie_otis_analyze_c05_mrm_aggregate(): c05 aggregate Ruhela: non-majority religion -> RC.
morie_otis_analyze_c06(): Individuals in RC/seg by age category x region (c06)
morie_otis_analyze_c06_ruhela_aggregate() morie_otis_analyze_c06_mrm_aggregate(): c06 aggregate Ruhela: Age 50+ -> RC.
morie_otis_analyze_c07(): Individuals x alerts x gender (c07)
morie_otis_analyze_c07_ruhela_aggregate() morie_otis_analyze_c07_mrm_aggregate(): c07 aggregate Ruhela: Alert presence x Gender -> RC.
morie_otis_analyze_c08(): Individuals by religion x gender (c08)
morie_otis_analyze_c08_ruhela_aggregate() morie_otis_analyze_c08_mrm_aggregate(): c08 aggregate Ruhela: non-majority religion x gender -> RC.
morie_otis_analyze_c09(): Individuals by age category x gender (c09)
morie_otis_analyze_c09_ruhela_aggregate() morie_otis_analyze_c09_mrm_aggregate(): c09 aggregate Ruhela: Age 50+ x gender -> RC.
morie_otis_analyze_c10(): RC/seg aggregate durations by institution (c10)
morie_otis_analyze_c10_ruhela_aggregate() morie_otis_analyze_c10_mrm_aggregate(): c10 aggregate Ruhela: Female -> median RC days (institution GEE).
morie_otis_analyze_c11(): Individuals by aggregate-duration bin (c11)
morie_otis_analyze_c11_mandela_classification(): Mandela-RF on c11 – per-individual Mandela classification by year.
morie_otis_analyze_c11_ruhela_aggregate() morie_otis_analyze_c11_mrm_aggregate(): c11 aggregate Ruhela: long-duration bin (>=16 days) -> RC.
morie_otis_analyze_c12(): RC/seg aggregate durations by region & gender (c12)
morie_otis_analyze_c12_ruhela_aggregate() morie_otis_analyze_c12_mrm_aggregate(): c12 aggregate Ruhela: Female -> median RC days (by region).
morie_otis_analyze_c_chi2(): MRM chi-square family on c-series.
morie_otis_analyze_d01(): Person-level custodial deaths (d01)
morie_otis_analyze_d02(): Custodial deaths by gender (d02)
morie_otis_analyze_d02_ruhela_aggregate() morie_otis_analyze_d02_mrm_aggregate(): d02 aggregate Ruhela: Female -> custodial deaths.
morie_otis_analyze_d03(): Custodial deaths by race (d03)
morie_otis_analyze_d03_ruhela_aggregate() morie_otis_analyze_d03_mrm_aggregate(): d03 aggregate Ruhela: Indigenous -> custodial deaths.
morie_otis_analyze_d04(): Custodial deaths by religion (d04)
morie_otis_analyze_d04_ruhela_aggregate() morie_otis_analyze_d04_mrm_aggregate(): d04 aggregate Ruhela: non-majority religion -> custodial deaths.
morie_otis_analyze_d05(): Custodial deaths by age category (d05)
morie_otis_analyze_d05_ruhela_aggregate() morie_otis_analyze_d05_mrm_aggregate(): d05 aggregate Ruhela: Age 50+ -> custodial deaths.
morie_otis_analyze_d06(): Custodial deaths by alert x medical cause (d06)
morie_otis_analyze_d07(): Custodial deaths by alert x housing unit (d07)
morie_otis_analyze_d_chi2(): MRM chi-square family on d-series.
morie_otis_analyze_otis_mandela_provincial_vs_federal(): Mandela-RF cross-comparison: Ontario provincial vs federal SIU.
morie_otis_analyze_ruhela_grid(): Aggregate Ruhela grid: one-page IRR comparison across analyzers.
morie_otis_analyze_ruhela_master(): Paper-ready master report – every Ruhela formulation in one result.
morie_otis_analyze_ruhela_per_year(): Per-fiscal-year full-DLRM Ruhela formulation driver.
morie_otis_analyzers(): Registry of dataset-id -> analyzer
morie_otis_astcmb(): Alert-state combination encoding (8 combos -> complexity index)
morie_otis_causal_grid(): Run IPW / AIPW / IRM-DML on the three canonical (T, Y) pairs.
morie_otis_churn: Goffmanian institutional-churn analyses on OTIS
morie_otis_churn_analyze_all(): Run all 11 OTIS-churn analyses
morie_otis_classify_mandela_combo(): Mandela alert-state classifier for an OTIS placement row.
morie_otis_disciplinary_medical_overlap(): Disciplinary x medical-protection overlap
morie_otis_embedding_distribution(): Total-days embedding distribution (lognormal vs Pareto vs exp)
morie_otis_figures(): Export the OTIS restrictive-confinement figures
morie_otis_intra_year_transition_matrix(): Intra-year region-to-region transition matrix
morie_otis_ipw_ate(): Hajek-stabilised IPW estimator of the ATE on OTIS data.
morie_otis_irm_dml(): Interactive Regression Model DML on OTIS data (ATE, ATTE, ATC).
morie_otis_irr_glmm_vm(): Poisson + Negative-Binomial IRR for volatility ~ alert complexity
morie_otis_load(): Load the canonical OTIS CSV
morie_otis_make_pair_a(): Pair (a): MentalHealth_Alert -> SuicideRisk_Alert (binary -> binary).
morie_otis_make_pair_alert_to_volatility_a01(): a01-aware wrapper for the Ruhela alert -> volatility builder.
morie_otis_make_pair_alert_to_volatility_all(): Run both Ruhela and Naive alert -> volatility builders.
morie_otis_make_pair_alert_to_volatility_naive(): Naive (max-simultaneous-flags + binary vm) alert -> volatility builder.
morie_otis_make_pair_alert_to_volatility_ruhela(): Ruhela's primary alert-complexity -> regional-volatility builder.
morie_otis_make_pair_b(): Pair (b): HighAlertComplexity -> AnyReadmission.
morie_otis_make_pair_c(): Pair (c): RegionalVolatility -> SegregationDays.
morie_otis_mortification_cooccurrence(): Mortification co-occurrence (concurrent alerts)
morie_otis_otdesc(): Full OTIS descriptive statistics suite
morie_otis_otdml(): Cross-fitted partially linear DML (ATE/ATT) on OTIS
morie_otis_path_complexity_gini(): Path complexity Gini by (year, region)
morie_otis_pipeline: OTIS analysis pipeline (RichResult-style driver)
morie_otis_plr(): Partially Linear Regression DML on OTIS data (native)
morie_otis_regional_placement() morie_otis_alert_state_combo() morie_otis_volatility() morie_otis_rc_trends() morie_otis_descriptives() morie_otis_dml(): Ontario Restrictive Confinement (OTIS) primitive analyses
morie_otis_psm(): Propensity-score 1:k NN matching with caliper on OTIS data (native)
morie_otis_psm_subclass(): Propensity-score subclassification ATE on OTIS data (native)
morie_otis_rctrnd(): Restrictive-confinement trends over time by region
morie_otis_regC_demog_contingency(): Multi-region path x Gender / Age contingency
morie_otis_region_alert_state_richness(): Region x alert state richness
morie_otis_repeat_placement_concentration(): Repeat-placement concentration (Goffmanian cyclical-inmate)
morie_otis_rplace(): Regional placement matrix by age group
morie_otis_tps_analyze_all(): Run all OTIS-TPS overlay analyses
morie_otis_tps_composite_overlay(): Composite overlay (alias for the YoY correlation)
morie_otis_tps_overlay: Cross-link OTIS (Ontario corrections) with TPS (Toronto police) data
morie_otis_tps_per_region_rollup(): OTIS seg/RC totals per region x year (Toronto row flagged for TPS-overlay use)
morie_otis_tps_yoy_correlation(): Year-over-year correlation between OTIS Toronto-region segregation placements and TPS incident counts (per category)
morie_otis_volat(): Regional volatility / placement movement
morie_otis_within_year_placement_count(): Within-year placement-count distribution
morie_otis_within_year_region_diversity(): Within-year region diversity

Applied study: TPS (Toronto Police Service)

morie_tps_add_hood_140_from_158(): Add an equivalent HOOD_140 column to a HOOD_158-keyed data.frame
morie_tps_add_hood_158_from_140(): Add an equivalent HOOD_158 column to a HOOD_140-keyed data.frame
morie_tps_aggregate_158_to_140(): Aggregate per-158 counts to per-140 counts (EXACT for pure cake-cuts)
morie_tps_analyze: RichResult-emitting analyses for the 13 TPS crime datasets
morie_tps_analyze_all(): Run the full TPS analysis capsule across many TPS data.frames
morie_tps_analyze_assault() morie_tps_analyze_autotheft() morie_tps_analyze_bicycletheft() morie_tps_analyze_breakandenter() morie_tps_analyze_communitysafetyindicators() morie_tps_analyze_hatecrimes() morie_tps_analyze_homicides() morie_tps_analyze_intimatepartnerandfamilyviolence() morie_tps_analyze_neighbourhoodcrimerates() morie_tps_analyze_robbery() morie_tps_analyze_shootingandfirearmdiscarges() morie_tps_analyze_theftfrommovingvehicle() morie_tps_analyze_theftover(): Convenience alias: full TPS capsule on the Assault dataset.
morie_tps_analyze_csi_from_dataframes(): Toronto CSI per-year + per-ward from a named list of TPS data.frames
morie_tps_analyze_one(): Run the standard TPS analysis capsule on one data.frame
morie_tps_arima_forecast(): ARIMA(1,1,1) monthly-count forecast
morie_tps_assert_hood_version(): Assert the HOOD_* schema version of a TPS data.frame
morie_tps_available_formats(): List of formats this build can actually load.
morie_tps_bivariate_moran(): Bivariate Moran's I between two attributes at the same polygons
morie_tps_bivariate_morans_i(): Bivariate Moran's I between two TPS categories
morie_tps_category_correlation_matrix(): Pearson correlation across TPS categories' per-hood counts
morie_tps_changepoint_detection(): Pettitt-style change-point on yearly incident counts
morie_tps_compare_hawkes_kernels(): Compare Hawkes models across kernel x baseline combinations
morie_tps_composite_index(): Composite per-neighbourhood crime-risk index across TPS categories
morie_tps_crime_compare(): Compare counts and trends across multiple TPS categories
morie_tps_criminal_network_graph(): Premise x neighbourhood co-occurrence network
morie_tps_csi_per_neighbourhood(): CSI per neighbourhood (HOOD_158)
morie_tps_csi_per_year(): Toronto CSI per fiscal year from per-category counts
morie_tps_csi_weight(): Return the CSI weight for a TPS open-data category.
morie_tps_data_dir(): Default project data directory for TPS open data.
morie_tps_dbscan_clusters(): DBSCAN density clusters on lat/long
morie_tps_disaggregate_140_to_158(): Disaggregate per-140 counts to per-158 counts (uniform-density)
morie_tps_district_for_centroid(): Return the pre-1998 borough name for a (lat, lon) centroid
morie_tps_fetch_category(): Fetch one TPS category as a CSV, paging until exhausted.
morie_tps_fetch_dataframe(): Fetch a TPS category and return it as a data.frame.
morie_tps_figures(): Export the TPS stochastic diagnostic figures
morie_tps_fokker_planck_grid(): 1-D Fokker-Planck density evolution under OU drift+diffusion
morie_tps_getis_ord_g_star(): Local Getis-Ord Gi* statistic per neighbourhood
morie_tps_gini_concentration(): Gini coefficient of a numeric vector
morie_tps_hawkes_advanced: Non-stationary Hawkes with non-exponential kernels (R port)
morie_tps_hawkes_advanced_fit(): Fit a single (kernel, baseline) Hawkes specification
morie_tps_hawkes_markovian_vs_nonmarkovian(): Focused 2x2 Markovian vs non-Markovian Hawkes comparison
morie_tps_hawkes_temporal_fit(): Temporal exponential-kernel Hawkes fit
morie_tps_inspection_game_phase(): Helbing-Szolnoki inspection-game phase diagram
morie_tps_kde_density(): 2-D kernel density estimate of geocoded incidents
morie_tps_langevin_simulate(): Euler-Maruyama Ornstein-Uhlenbeck simulation
morie_tps_layer_urls() MORIE_TPS_LAYER_URLS: TPS ArcGIS layer URLs known to MORIE
morie_tps_levy_flight_alpha(): Levy-flight tail exponent on consecutive-incident steps
morie_tps_list_categories(): List TPS categories known to the fetcher.
morie_tps_list_datasets(): List all TPS datasets as a data.frame.
morie_tps_list_formats(): Map TPS format name -> path of the file that would be loaded.
morie_tps_load(): Load TPS dataset name in the given format.
morie_tps_load_dataset(): Load one TPS dataset by category name (CSV thin path).
morie_tps_load_tps(): Load a TPS hub layer (incident category or aggregate layer)
morie_tps_load_tps_dataset(): Load a TPS incident dataset for the statistical-physics suite
morie_tps_local_morans_i(): LISA – local Moran's Ii per neighbourhood
morie_tps_lotka_volterra_police_crime(): Lotka-Volterra predator-prey on yearly crime counts
morie_tps_moran_sweep_heatmap(): Sweep polygon Moran's I across (category x year)
morie_tps_morans_i_neighbourhood(): Global Moran's I on neighbourhood-level incident counts
morie_tps_neighbourhood_concentration(): How concentrated is crime across Toronto's 158 neighbourhoods?
morie_tps_offence_summary(): Offence-distribution rollup for a TPS crime data.frame
morie_tps_polygon_morans_i(): Polygon-aware Moran's I on a value column
morie_tps_pretty_label(): Convert a SQL-style column name to a prose label
morie_tps_project_xy(): Project (lat, lon) to rotated planar kilometres
morie_tps_psdp_layers(): List the TPS PSDP layers wrapped by morie
morie_tps_render: Toronto Police Service map rendering (R-side)
morie_tps_render_choropleth(): Polygon choropleth map for Toronto (158 wards)
morie_tps_render_dbscan(): DBSCAN cluster figure on TPS-projected points
morie_tps_render_district_proportional(): District-level proportional-symbol map
morie_tps_render_points(): Render a TPS point-pattern map (incident dots, optional DBSCAN)
morie_tps_render_quad(): Four-panel composite of TPS rendering primitives
morie_tps_render_satscan_panel(): SaTScan-style spatial scan panel
morie_tps_render_yearly_grid(): Small-multiples panel of per-year TPS choropleths
morie_tps_resolve_hood_col(): Resolve which HOOD_* column to use on a TPS crime data.frame
morie_tps_ripley_k(): Ripley's K function at multiple radii
morie_tps_sarima_forecast(): Seasonal ARIMA forecast on monthly incident counts
morie_tps_sdb_reaction_diffusion(): Short-D'Orsogna-Brantingham 2008 hot-spot PDE
morie_tps_sdb_turing_demo(): Canonical Short-D'Orsogna-Brantingham Turing-pattern demo
morie_tps_seasonal_pattern(): Seasonal / cyclic incident-time patterns
morie_tps_spatial_summary(): Spatial rollup for a TPS crime data.frame
morie_tps_statphysics: Statistical physics of crime for TPS data
morie_tps_statphysics_analyze_all(): Run all four statistical-physics analyses on a list of categories
morie_tps_stochastic: Stochastic-physics-of-crime analyses for TPS data
morie_tps_temporal: Temporal analyses for TPS crime data
morie_tps_temporal_summary(): Temporal rollup for a TPS crime data.frame
morie_tps_urban_scaling_beta(): Bettencourt urban-scaling exponent across the 158 Toronto wards
morie_tps_use_of_force() morie_tpsuof(): TPS Use-of-Force rate + type distribution
morie_tps_year_over_year_trend(): Year-over-year linear trend on incident counts
morie_tps_year_to_hood_version(): Recommended HOOD_* schema version for a given OCC_YEAR
morie_tps_yoy_panel(): Side-by-side year-over-year panel across TPS categories

Applied study: SIU (Special Investigations Unit audit)

morie_siu_all_analyses(): Run every SIU descriptive analysis in this module
morie_siu_analyze: SIU descriptive analyses (R port of morie.siu.analyze)
morie_siu_anomaly_check(): Per-field anomaly check: does the parser's extraction match the HTML?
morie_siu_audit_case(): Audit one SIU case end-to-end: parser output + raw HTML
morie_siu_audit_columns(): Per-column accuracy audit: estimate every SIU column's correctness
morie_siu_by_police_service(): SIU cases by police service
morie_siu_by_year(): SIU cases by year
morie_siu_cache_path(): Cache-path helper for the lightweight SIU scraper
morie_siu_case_counts(): SIU per-case team-size distribution
morie_siu_charges_by_year_chi2(): Chi-square: charges-recommended independent of year?
morie_siu_classify_mandela(): Apply the Sprott-Doob Mandela-Rules classifier to one SIU stay
morie_siu_compare(): Field-by-field SIU comparison against a user-supplied external table
morie_siu_decision_timing(): SIU decision-timing distributions
morie_siu_demographics(): Affected-person demographics
morie_siu_index_url(): Lightweight Ontario SIU Director's Reports scraper (R-native)
morie_siu_fetch_cases(): Scrape Ontario SIU Director's Reports into a tidy CSV
morie_siu_fetch_dataframe(): Scrape Ontario SIU Director's Reports and return a data frame
morie_siu_index(): SIU drid → case_number → language index
morie_siu_llm_extract(): Extract SIU report fields with an LLM (Gemini or Claude)
morie_siu_mental_health_race_indicators(): Mental-health / race keyword indicators
morie_siu_panel(): Run the Mixture-of-Agents reading panel on SIU reports
morie_siu_parse_html(): Parse a SIU director's-report HTML page (pure-R)
morie_siu_parse_news_html(): Parse a SIU news-release HTML page (pure-R)
morie_siu_parse_report(): Parse one SIU director's report into the full 16-field schema
morie_siu_parser: Pure-R SIU director's-report parser (port of morie.siu._parser)
morie_siu_record_correction(): Record a verified correction to the SIU parser's output
morie_siu_refresh_manifest(): Rebuild the Ontario SIU DRID manifest by probing the live site
morie_siu_reports(): SIU director's-reports corpus: reviewed data first, fetch only what's new
morie_siu_resolve_so(): Resolve a subject-official count: verified corpus first, rules second
morie_siu_sanity_check(): Row-level sanity check on a parsed SIU table (regex-only, no LLM)
morie_siu_sprott_doob_feb2021(): Comprehensive replication of Sprott & Doob (Feb 2021)
morie_siu_sprott_doob_iftene_table1(): Sprott-Doob-Iftene (May 2021) Table 1: IEDM-reviewed population
morie_siu_sprott_doob_iftene_table10(): Sprott-Doob-Iftene (May 2021) Table 10: per-IEDM decision variance
morie_siu_sprott_doob_iftene_table15(): Sprott-Doob-Iftene (May 2021) Table 15: long-stay no-IEDM cases
morie_siu_sprott_doob_iftene_table9(): Sprott-Doob-Iftene (May 2021) Table 9: IEDM review outcomes
morie_siu_sprott_doob_table11(): Sprott-Doob (Feb 2021) Table 11: Region x stay length
morie_siu_sprott_doob_table12(): Sprott-Doob (Feb 2021) Table 12: regional over-/under-representation
morie_siu_sprott_doob_table13(): Sprott-Doob (Feb 2021) Table 13: regional SIU person-stay rates
morie_siu_sprott_doob_table15(): Sprott-Doob (Feb 2021) Table 15: Region x MH-flag
morie_siu_sprott_doob_table19(): Sprott-Doob (Feb 2021) Table 19: Mandela-Rules classification
morie_siu_sprott_doob_table22(): Sprott-Doob (Feb 2021) Table 22: Region x Mandela groups
morie_siu_sprott_doob_table23(): Sprott-Doob (Feb 2021) Table 23: regional torture/solitary rates
morie_siu_sprott_doob_table4(): Sprott-Doob (Feb 2021) Table 4: length-of-stay distribution
morie_siu_translate() morie_siu_translate_fr_to_en(): Translate SIU report text into any target language via local LLM
morie_siu_verify_chi2(): Recompute Pearson chi-square from a 2D contingency table
morie_siu_verify_published_chi_squares(): Verify every published chi-square against its transcribed cells
morie_siuiap_cite(): Build a citation string for an SIU IAP / CRIMSL / affidavit entry.
morie_siuiap_panel_summary(): Human-readable summary of the SIU IAP panel.

Applied study: ARSAU

morie_arsau_analyze_aggregate_summary(): Analysis of the ARSAU aggregate-summary-by-year file (2020-2022).
morie_arsau_analyze_detailed_dataset(): Wide-format analysis of the 2020-2022 detailed-incident dataset.
morie_arsau_analyze_individual_records(): End-to-end analysis of the ARSAU individual_records CSV for one year.
morie_arsau_analyze_main_records(): End-to-end analysis of the ARSAU main_records CSV for one year.
morie_arsau_analyze_probe_cycle_records(): Analysis of ARSAU probe_cycle_records (CEW telemetry).
morie_arsau_analyze_weapon_records(): Analysis of ARSAU weapon_records.
morie_arsau_available_datasets(): List ARSAU dataset kinds, optionally restricted to one year.
morie_arsau_available_years(): List ARSAU year / year-range buckets.
morie_arsau_ckan_url(): Build the upstream CKAN datastore_search URL for a registry entry.
morie_arsau_describe(): Describe a single ARSAU dataset entry.
morie_arsau_download(): Bulk-download ARSAU CSVs from the Ontario Data Catalogue.
morie_arsau_fetch_sidecar(): Fetch the CKAN sidecar JSON for a registry entry.
morie_arsau_load_aggregate_summary(): Load ARSAU aggregate-summary-by-year CSV (2020-2022 only).
morie_arsau_load_detailed_dataset(): Load ARSAU detailed-incident-level CSV (2020-2022 only).
morie_arsau_load_individual_records(): Load ARSAU individual_records CSV.
morie_arsau_load_main_records(): Load ARSAU main_records CSV for the given year.
morie_arsau_load_probe_cycle_records(): Load ARSAU probe_cycle_records CSV (CEW telemetry).
morie_arsau_load_weapon_records(): Load ARSAU weapon_records CSV.
morie_arsau_read_markdown_dictionary(): Read an Ontario-Catalogue Markdown data-dictionary sidecar.
morie_arsau_read_sidecar(): Read a CKAN datastore_search JSON sidecar.
morie_arsau_read_xlsx_dictionary(): Read an Ontario-Catalogue XLSX data-dictionary sidecar.
morie_arsau_registry_df(): ARSAU registry rendered as a tidy data.frame.
morie_arsau_sidecar_schema(): Extract a simplified [name, type, notes] schema from a parsed CKAN sidecar.
morie_arsau_sidecar_to_frame(): Convert a CKAN sidecar's records array-of-arrays into a data.frame.

Specialized & method-family routines

morie_taphonomy_bhm(): Bayesian hierarchical preservation model
morie_taphonomy_clr(): Centred log-ratio (CLR) transform of compositional data
morie_taphonomy_decay_absorption(): Absorption analysis of a taphonomic decay chain
morie_taphonomy_decay_chain(): Build a taphonomic decay Markov chain (DTMC)
morie_taphonomy_decay_delta(): Natural-vs-treated fate delta for a taphonomic decay chain
morie_taphonomy_decay_simulate(): Simulate one decay path through a taphonomic Markov chain
morie_taphonomy_evidence_loglik(): Gaussian log-likelihood of forensic evidence under a model
morie_taphonomy_fetch_usgs_soil(): Fetch USGS National Geochemical Database soil geochemistry
morie_taphonomy_ilr(): Isometric log-ratio (ILR) transform of compositional data
morie_taphonomy_likelihood_ratio(): Forensic likelihood ratio for two competing hypotheses
morie_taphonomy_morphosource_fetch(): Download a MorphoSource media capsule
morie_taphonomy_morphosource_search(): Search MorphoSource for 3D media or physical objects
morie_taphonomy_pmi_schema(): STO-2022 taphonomic-observation schema (PMI nuisance variables)
morie_taphonomy_preservation_delta(): Estimate the natural preservation "delta" and its E-value
morie_taphonomy_preservation_lr(): Preservation likelihood ratio from measured evidence
morie_taphonomy_schema(): Taphonomy data schema (zero-row template)
morie_taphonomy_simulate_pxrf(): Simulate synthetic pXRF compositional data (Dirichlet)
morie_entheo_analyze_subject(): Per-subject DMT vs PCB BOLD pipeline
morie_entheo_available_subjects(): DMT_Imaging: list motion-survived subject IDs
morie_entheo_clone_dmt_imaging(): Clone the DMT_Imaging dataset (Timmerman et al.) into a local cache.
morie_entheo_dataset_overview(): DMT_Imaging: dataset overview
morie_entheo_dynamic_functional_connectivity(): Sliding-window dynamic functional connectivity (dRSFC)
morie_entheo_load_eeg_region(): DMT_Imaging: load IRASA EEG regressors for one cortical region
morie_entheo_load_fmri_subject(): DMT_Imaging: load one subject's BOLD AAL parcellation
morie_entheo_lz_complexity(): Lempel-Ziv (LZ76) complexity of a binarised signal
morie_entheo_spectral_band_power(): EEG band-power decomposition via Welch PSD
morie_tox_antemortem_lr(): Likelihood ratio for antemortem ingestion versus postmortem artefact
morie_tox_calibration(): Fit an internal-standard calibration curve and inverse-predict an unknown
morie_tox_ethanol_congeners(): Adjudicate ethanol as antemortem ingestion versus postmortem production
morie_tox_left_censor_impute(): Impute left-censored (below-LOD) toxicology values
morie_tox_matrix_reliability(): Rank specimen matrices by reliability under submersion and decomposition
morie_tox_matrix_schema(): Typed zero-row schema for a forensic-toxicology sample table
morie_tox_pmr_ratio(): Flag postmortem redistribution from a central:peripheral concentration ratio
morie_psymet_alpha(): Cronbach's coefficient alpha with Feldt CI
morie_psymet_alphadel(): Alpha if item deleted
morie_psymet_ave(): Average variance extracted (AVE) from factor loadings. Mean(lambda^2).
morie_psymet_bartlett(): Bartlett's test of sphericity.
morie_psymet_cr(): Composite reliability from standardized factor loadings. CR = (sum lambda)^2 / ((sum lambda)^2 + sum(1 - lambda^2))
morie_psymet_discrimination(): Item discrimination (D-statistic).
morie_psymet_itemtotal(): Corrected item-total correlations
morie_psymet_kmo(): Kaiser-Meyer-Olkin sampling adequacy.
morie_psymet_omega(): McDonald's omega total and hierarchical
morie_psymet_parallel(): Horn's parallel analysis – suggested number of factors.
morie_psymet_splithalf(): Spearman-Brown split-half reliability.

Cryptography

Post-quantum KEM/DEM, hashing, and symmetric primitives.

morie_crypto_chacha20_poly1305_decrypt(): ChaCha20-Poly1305 IETF authenticated decryption
morie_crypto_chacha20_poly1305_encrypt(): ChaCha20-Poly1305 IETF authenticated encryption
morie_crypto_hkdf_sha256(): HKDF-SHA256 (RFC 5869) key derivation
morie_crypto_hqc_decaps(): HQC-128 decapsulation
morie_crypto_hqc_encaps(): HQC-128 encapsulation
morie_crypto_hqc_keygen(): HQC-128 keypair (code-based KEM)
morie_crypto_hybrid_decrypt(): Hybrid decrypt: ML-KEM-768 + ChaCha20-Poly1305
morie_crypto_hybrid_encrypt(): Hybrid encrypt: ML-KEM-768 + ChaCha20-Poly1305
morie_crypto_hybrid_keygen(): Generate an ML-KEM-768 key pair for hybrid encryption
morie_crypto_keystore_create(): Create a new empty morie keystore
morie_crypto_keystore_list(): List key names in the morie keystore
morie_crypto_keystore_load(): Load a key pair from the morie keystore
morie_crypto_keystore_store(): Store a key pair in the morie keystore
morie_crypto_lamport_keygen(): Lamport one-time signature keypair (native, SHA-256)
morie_crypto_lamport_sign(): Sign one message with a Lamport keypair (native)
morie_crypto_lamport_verify(): Verify a Lamport one-time signature (native)
morie_crypto_liboqs_available(): Is liboqs available in this morie build?
morie_crypto_liboqs_version(): liboqs runtime version string
morie_crypto_mldsa65_keygen(): ML-DSA-65 keypair generation (NIST FIPS 204)
morie_crypto_mldsa65_sign(): ML-DSA-65 signature
morie_crypto_mldsa65_verify(): ML-DSA-65 signature verification
morie_crypto_mlkem768_decaps(): ML-KEM-768 decapsulation
morie_crypto_mlkem768_encaps(): ML-KEM-768 encapsulation
morie_crypto_mlkem768_keygen(): ML-KEM-768 keypair generation (NIST FIPS 203)
morie_crypto_pqc_inventory(): Inventory of the post-quantum families available in this build
morie_crypto_random_bytes(): Cryptographically secure random bytes (libsodium)
morie_crypto_slhdsa_keygen(): SLH-DSA-SHA2-128s keypair (hash-based signatures, FIPS 205)
morie_crypto_slhdsa_sign(): SLH-DSA-SHA2-128s signature
morie_crypto_slhdsa_verify(): SLH-DSA-SHA2-128s verification
morie_crypto_sodium_available(): Is libsodium available in this morie build?
morie_crypto_sodium_version(): libsodium runtime version string

LLM agent & CLI

morie_llm_agent_available(): Return TRUE when at least one live LLM provider is available
morie_llm_ask(): Send a prompt to the best available LLM provider
morie_llm_ask_multi(): Ask the best available LLM provider, accepting a multi-turn messages list
morie_llm_detect_provider(): Detect the active LLM provider
morie_llm_ollama_models(): List the models an Ollama server is serving
morie_llm_probe_ollama(): Probe a local Ollama instance
morie_llm_request_completion(): POST a chat-completion request to an OpenAI-compatible endpoint
morie_run_ebac_selection_ipw_analysis(): Run the eBAC selection-adjusted IPW workflow
morie_run_morie_module(): Run one implemented MORIE module against CPADS data
morie_run_morie_modules(): Run multiple implemented MORIE modules
morie_run_pipeline(): Run multiple workflow steps
morie_run_propensity_ipw_analysis(): Run the CPADS propensity/IPW workflow
morie_run_treatment_effects_analysis(): Run a treatment-effects analysis (point estimate, SE, 95% CI)
morie_run_weighted_logistic_analysis(): Run a weighted logistic-regression analysis
morie_run_workflow_step(): Run one project workflow step
morie_runs_test(): Wald-Wolfowitz runs test (native)

All exported functions (A–Z)

The complete index. Every exported function also appears in a themed section above; this A–Z listing is the exhaustive reference.

ARSAU_KINDS(): Known ARSAU dataset kinds.
ARSAU_REGISTRY(): Return the ARSAU registry as a list of entries.
ARSAU_YEARS(): Known ARSAU year/range keys.
CCRSO_TABLE1_RELEASES: CCRSO Table 1 — 5-year average annual conditional releases
CCRSO_TABLE2_FLOW: CCRSO Table 2 — prisoner flow 2013/14-2017/18
CCRSO_TABLE3_AGE: CCRSO/StatsCan Table 3 — 2018 age distribution
MORIE_FAIRNESS_CANONICAL_FIELDS: The five canonical per-area fields the audit consumes.
MORIE_SIUIAP_AFFIDAVITS: Federal Court affidavits / expert evidence indexed by morie.
MORIE_SIUIAP_CRIMSL_REPORTS: CRIMSL UToronto Sprott / Doob / Iftene research reports (2020-2021).
MORIE_SIUIAP_ORIGINAL_PANEL_2019_2020: Earlier (Doob-chaired) panel, established 2019, dissolved mid-2020.
MORIE_SIUIAP_PANEL_MANDATE: SIU IAP panel mandate (long-form prose).
MORIE_SIUIAP_PANEL_MEMBERS: SIU IAP panel members (2021-2024 panel, Sapers-chaired).
MORIE_SIUIAP_REPORTS: SIU IAP panel reports (Public Safety Canada, 2022-2024).
MORIE_SIUIAP_URL: SIU IAP – Public Safety Canada landing page URL.
MORIE_TPS_CSI_CATEGORIES(): Canonical CSI category names (the 9 TPS open-data feeds).
MORIE_TPS_REGISTRY: Registry of TPS open-data categories.
MORIE_TPS_SUPPORTED_FORMATS: Format names that morie_tps_load() knows how to dispatch.
MORIE_TPS_TORONTO_POPULATION_BY_YEAR(): Toronto reference population by fiscal year (StatsCan 17-10-0009-01).
MORIE_TPS_TOTAL_CSI_WEIGHTS(): Total-CSI weights for the 9 TPS open-data categories.
MORIE_TPS_VIOLENT_CSI_WEIGHTS(): Violent-CSI weights for the 9 TPS open-data categories.
SemiparKernels(): Object-style wrapper for the semiparametric kernel toolkit
adjust_p_values(): Convenience dispatcher for p-value adjustment methods
agent(): Ask the rmorie terminal agent
agent_available(): Is the rmorie CLI agent available?
all_stat_command_names(): Sorted vector of all command names + aliases
analyze_doob_full_affidavit(): Replicate Doob's full Federal Court affidavit (Tables 1-3)
analyze_doob_table1_releases(): Analyse Doob Affidavit Table 1 — 5-year average annual releases
analyze_doob_table2_flow(): Analyse Doob Affidavit Table 2 — prisoner flow
analyze_doob_table3_age_overrepresentation(): Analyse Doob Affidavit Table 3 — age over-/under-representation
anova_table(): ANOVA table from a fitted model
arsau: ARSAU dataset loaders + registry (R-side mirror of morie.arsau_datasets)
arsau_analyze: Per-record-type ARSAU analysis pipelines (R-side mirror of morie.arsau_analyze).
arsau_datasets: ARSAU CKAN sidecar helpers + tidy registry view (R-side companion to morie.arsau_datasets).
assess_calibration(): Comprehensive calibration assessment for binary outcomes
assess_discrimination(): Discrimination assessment for binary classifier
audit_variables: Comprehensive per-variable audit walker (R-side mirror)
auto_test(): Automatic test selection
bartlett_test(): Bartlett's test for equality of variances
benjamini_hochberg() bh(): Benjamini-Hochberg FDR control
benjamini_yekutieli() by_fdr(): Benjamini-Yekutieli FDR control under arbitrary dependence
bias_adjusted_estimate(): Bias-adjusted treatment effect (Ding & VanderWeele 2016)
block_bootstrap(): Block bootstrap for dependent / time-series data
bonferroni(): Bonferroni FWER correction
bootstrap(): Nonparametric bootstrap inference
bootstrap_632(): .632 and .632+ bootstrap estimators for prediction error
bootstrap_effect_size_ci(): Generic bootstrap CI wrapper for any effect-size function
bootstrap_validate(): Bootstrap .632 / .632+ validation
buttbp(): Butterworth bandpass filter
buttbs(): Butterworth bandstop (notch) filter
butthp(): Butterworth highpass filter
buttlp(): Butterworth lowpass filter
cauchy_combination(): Cauchy combination test (Liu and Xie 2020)
cepst(): Real cepstrum
cheatsheet(): Print the morie cheat sheet
check_referential_integrity(): Check referential integrity (child FK -> parent PK)
chi2_goodness_of_fit(): Chi-squared goodness-of-fit test
chi2_independence(): Chi-squared test of independence
ckan_metadata: CKAN Metadata for Open Data APIs
cles(): Common Language Effect Size (probability of superiority)
cli_main(): Command-line analysis entry point
cliffs_delta(): Cliff's delta
cochrans_q(): Cochran's Q test
coef(<crr>): S3 coef method for cmprsk::crr objects.
coefficient_of_variation(): Coefficient of variation
cohens_f(): Cohen's f from eta-squared
cohens_kappa(): Cohen's kappa for two raters
cohens_w(): Cohen's w for chi-squared
collinearity_diagnostics(): Comprehensive multicollinearity diagnostics
column_rule(): Construct a column rule
commands_by_category(): Commands grouped by category
compute_goodness_of_fit(): Comprehensive goodness-of-fit statistics
compute_influence(): Compute leverage and influence diagnostics
compute_residuals(): Compute residual diagnostics
compute_vif(): Variance Inflation Factors
correlation_matrix(): Pairwise correlation matrix with p-values
correlation_table(): Pairwise correlation matrix with significance stars
create_reproducibility_manifest(): Create a manifest of the environment for reproducibility
cross_validate(): Cross-validate a model using a user-supplied fit/predict pair
d_to_nnt(): Convert Cohen's d to NNT given a control event rate
d_to_or(): Convert Cohen's d to odds ratio
d_to_r(): Convert Cohen's d to Pearson r
dagostino_pearson(): D'Agostino-Pearson omnibus normality test
dataset_catalog: MORIE Dataset Catalog
decision_curve_analysis(): Decision curve analysis
decoupling_test(): Doob decoupling test
delete_d_jackknife(): Delete-d (generalised) jackknife
detect_overfitting(): Bootstrap optimism-corrected performance
dfa(): Detrended fluctuation analysis (DFA)
doob_trends: Doob Federal Court Affidavit — national-aggregate trend analyses
e_value(): E-value for unmeasured confounding (continuous-ATE scale)
e_value_d(): E-value for a standardised mean difference (Cohen's d)
e_value_hr(): E-value for a hazard ratio
e_value_or(): E-value for an odds ratio
e_value_rr(): E-value for a risk ratio
ecgdet(): Pan-Tompkins QRS / R-peak detector
effect_size_result(): Build an effect-size result
effect_sizes: Comprehensive effect-size calculations
effects: Treatment effect estimators and marginal-effects extenders
epsilon_squared(): Epsilon-squared (Kelley, 1935)
estimate_ate(): IPW-weighted OLS ATE
estimate_ate_gcomputation(): G-computation ATE with bootstrap SE
estimate_pi0(): Estimate the proportion of true null hypotheses (pi0)
estimate_pliv(): Partially Linear IV (PLIV) / Local Average Treatment Effect
estimate_plr(): Partially Linear Regression (PLR) ATE
explain_file(): Human-readable description of a morie output CSV
explain_known_files(): Names of all morie output CSVs with registered explanations
extenders_nonparam: FDR / nonparametric / quantile / latent-class extenders (Phase 1.n)
extenders_rdd: RDD / IRT extenders (Phase 1.l)
extenders_spatial: Spatial / multivariate / meta-analysis extenders (Phase 1.m)
extenders_stats: Stats extenders (Phase 1.k)
external_validate(): External validation on new data
fairness_cityprofile: City-agnostic data profiles for the predictive-policing audit
fairness_metrics: Group-disparity metrics for auditing classification systems
fairness_temporal: Multi-city temporal disparity audit
fallback_procedure(): Fallback (fixed-sequence with alpha spending)
fisher_combined(): Fisher's method for combining independent p-values
fisher_exact_test(): Fisher's exact test for a 2x2 table
fitted(<morie_bayes_fit>): Posterior fitted values (on the response scale)
fixed_effects_meta(): Fixed-effects (inverse-variance) meta-analytic pooling
fixed_sequence(): Fixed-sequence (predetermined order) testing
format_dataframe(): Apply uniform formatting to numeric columns
format_number(): Format a single number according to style conventions
friedman_test(): Friedman test (repeated-measures rank ANOVA)
frns_metrics: Group-disparity metrics for auditing classification and risk systems
frns_predpol: Generalised predictive-policing disparity audit
frns_temporal: Multi-city temporal disparity audit
full_diagnostics(): Full diagnostic report
gam_smoother(): Thin-plate spline smoother via mgcv::gam
glass_delta(): Glass's delta — control-group SD denominator
harmonic_mean_p(): Harmonic mean p-value
hawkes_spatial: Spatiotemporal (self-exciting) Hawkes point process
hazard_ratio_table(): Hazard-ratio table from Cox model components
hcepst(): Complex cepstrum with phase unwrapping
hdecon(): Homomorphic deconvolution via cepstral liftering
hfd(): Higuchi fractal dimension
hierarchical_bonferroni(): Hierarchical (serial gatekeeping) Bonferroni procedure
hochberg(): Hochberg step-up FWER procedure
holm(): Holm step-down FWER procedure
holm_sidak(): Holm-Sidak step-down procedure
hommel(): Hommel FWER procedure
hosmer_lemeshow_test(): Hosmer-Lemeshow goodness-of-fit test for logistic regression
hrvfd(): HRV frequency-domain metrics (VLF, LF, HF, LF/HF)
hrvnl(): HRV nonlinear metrics (Poincare SD1, SD2)
hrvtd(): HRV time-domain metrics (SDNN, RMSSD, pNN50)
i_squared(): I^2 heterogeneity statistic (Higgins)
incidence_rate_difference(): Incidence rate difference (IRD)
intraclass_correlation(): Intraclass correlation coefficient (Shrout & Fleiss 1979)
jackknife(): Delete-one (leave-one-out) jackknife
kde(): Kernel density estimation
kendall_correlation(): Kendall's tau-b correlation
KERNEL_GAUSSIAN KERNEL_EPANECHNIKOV KERNEL_UNIFORM KERNEL_TRIANGULAR KERNEL_BIWEIGHT: Kernel type integer codes
kernel_cond_moments(): Kernel-weighted conditional mean and variance
kernel_eval(): Evaluate a kernel function at point u
kfd(): Katz fractal dimension
ks_test_one_sample(): One-sample Kolmogorov-Smirnov test
ks_test_two_sample(): Two-sample Kolmogorov-Smirnov test
leave_one_out_cv(): Leave-one-out cross-validation
levene_test(): Levene's test for equality of variances
license_check: Runtime license-compatibility guard for morie
likelihood_ratio_test(): Likelihood ratio test for nested models
lilliefors_test(): Lilliefors test for normality
link_test(): Pregibon link test
local_fdr(): Local false discovery rate via empirical-Bayes two-component mixture
local_linear(): Local linear kernel regression
longitudinal_sim: Synchronised longitudinal-panel simulation (R parity)
loocv_bandwidth(): Leave-one-out cross-validation bandwidth for NW regression
mann_whitney_u(): Mann-Whitney U / Wilcoxon rank-sum test
manski_bounds(): Manski worst-case bounds for the ATE
mcnemar_test(): McNemar's test (paired nominal data)
midranks(): Midrank vector with tie summary (Gibbons Ch 5.6.2)
model_comparison_table(): Compare multiple model fits on AIC, BIC, log-likelihood and (optional) LR tests
morie_anominate_ideal_points(): Alpha-NOMINATE ideal-point estimation via anominate
morie_anova_one_way(): One-way ANOVA
morie_arch_in_mean(): ARCH(1)-in-mean model
morie_arsau_analyze_aggregate_summary(): Analysis of the ARSAU aggregate-summary-by-year file (2020-2022).
morie_arsau_analyze_detailed_dataset(): Wide-format analysis of the 2020-2022 detailed-incident dataset.
morie_arsau_analyze_individual_records(): End-to-end analysis of the ARSAU individual_records CSV for one year.
morie_arsau_analyze_main_records(): End-to-end analysis of the ARSAU main_records CSV for one year.
morie_arsau_analyze_probe_cycle_records(): Analysis of ARSAU probe_cycle_records (CEW telemetry).
morie_arsau_analyze_weapon_records(): Analysis of ARSAU weapon_records.
morie_arsau_available_datasets(): List ARSAU dataset kinds, optionally restricted to one year.
morie_arsau_available_years(): List ARSAU year / year-range buckets.
morie_arsau_ckan_url(): Build the upstream CKAN datastore_search URL for a registry entry.
morie_arsau_describe(): Describe a single ARSAU dataset entry.
morie_arsau_download(): Bulk-download ARSAU CSVs from the Ontario Data Catalogue.
morie_arsau_fetch_sidecar(): Fetch the CKAN sidecar JSON for a registry entry.
morie_arsau_load_aggregate_summary(): Load ARSAU aggregate-summary-by-year CSV (2020-2022 only).
morie_arsau_load_detailed_dataset(): Load ARSAU detailed-incident-level CSV (2020-2022 only).
morie_arsau_load_individual_records(): Load ARSAU individual_records CSV.
morie_arsau_load_main_records(): Load ARSAU main_records CSV for the given year.
morie_arsau_load_probe_cycle_records(): Load ARSAU probe_cycle_records CSV (CEW telemetry).
morie_arsau_load_weapon_records(): Load ARSAU weapon_records CSV.
morie_arsau_read_markdown_dictionary(): Read an Ontario-Catalogue Markdown data-dictionary sidecar.
morie_arsau_read_sidecar(): Read a CKAN datastore_search JSON sidecar.
morie_arsau_read_xlsx_dictionary(): Read an Ontario-Catalogue XLSX data-dictionary sidecar.
morie_arsau_registry_df(): ARSAU registry rendered as a tidy data.frame.
morie_arsau_sidecar_schema(): Extract a simplified [name, type, notes] schema from a parsed CKAN sidecar.
morie_arsau_sidecar_to_frame(): Convert a CKAN sidecar's records array-of-arrays into a data.frame.
morie_audit_all_variables(): Audit both OTIS and ARSAU.
morie_audit_arsau_variables(): Audit every ARSAU variable.
morie_audit_categories(): Audit the categorical columns of a data frame for coding hazards
morie_audit_otis_variables(): Audit every OTIS variable.
morie_audit_public_outputs(): Audit declared outputs against files on disk
morie_bartels_rank_test(): Bartels rank test of randomness (native)
morie_bayes_compare(): Compare posterior means against an external (lm) reference
morie_bayes_continue(): Continue an MCMC run from its final state
morie_bayes_cpi_genomic(): BayesC-pi spike-and-slab variable selection (short Gibbs)
morie_bayes_density(): Posterior density plot for one parameter (BS6.3)
morie_bayes_diagnostics(): All convergence diagnostics for a fit (details of each checker used)
morie_bayes_ess(): Effective sample size (per parameter, autocorrelation-based)
morie_bayes_geweke(): Geweke convergence diagnostic (z-score comparing chain segments)
morie_bayes_lm(): Fit a Bayesian linear regression by random-walk Metropolis
morie_bayes_plot(): Default MCMC plot (trace, density, or both)
morie_bayes_rhat(): Gelman-Rubin R-hat for a set of MCMC chains
morie_bayes_ridge_gibbs(): BayesA via short Gibbs sampler (Meuwissen-Hayes-Goddard 2001)
morie_bayesian_lasso_full(): Bayesian LASSO (Park & Casella 2008 short Gibbs)
morie_bayesian_ridge_regression(): Bayesian ridge regression (RR-BLUP closed form)
morie_boot(): Native nonparametric bootstrap (ordinary, stratified)
morie_boot_basic_ci(): Direct bridge to boot::boot.ci
morie_boot_ci(): Native bootstrap confidence intervals
morie_boot_run(): Direct bridge to boot::boot
morie_bootstrap_sample(): Bootstrap resampling for any statistic
morie_bricklayer(): Assemble the rest of the morie family from R
morie_build_outputs_manifest(): Build an outputs manifest from a directory of artifacts
morie_builtin_db(): Get path to the built-in MORIE datasets database
morie_cache_clear(): Clear morie's persistent cache directory
morie_cache_dir(): morie cache contract
morie_cache_file(): Cache local RDS/CSV data into the SQLite database
morie_cache_list(): List all tables in the MORIE cache
morie_cache_load(): Load a table from the MORIE cache
morie_cache_store(): Store a data frame in the MORIE cache
morie_calculate_ebac(): Calculate estimated Blood Alcohol Concentration (eBAC)
morie_calculate_ipw_weights(): Calculate inverse probability of treatment weights (IPTW)
morie_calibration_weights(): Calibration weights via iterative proportional fitting (raking)
morie_canonicalize_cpads_data(): Canonicalize raw CPADS PUMF columns
morie_causal_impact(): Bayesian structural time-series intervention analysis
morie_causal_robust_se(): Robust / heteroskedasticity-consistent variance for a fitted model
morie_causal_weighting(): Estimate balancing weights via WeightIt
morie_check_plugin_license(): Check whether a downstream package's SPDX is GPL-compatible
morie_chi_square_test(): Chi-square test of independence or goodness-of-fit
morie_ckan_search(): Search any CKAN open-data portal for datasets
morie_classify_variable(): Classify one variable.
morie_cli_dump_catalog(): Emit a unified catalog CSV for the rmorie-cli binary
morie_cluster(): k-means clustering with a full model-object contract
morie_cluster_batch(): Batch-cluster several data sets
morie_cluster_sample(): Two-stage cluster sampling
morie_cnn_genomic(): CNN genomic predictor (Conv1D + GAP + dense, base R)
morie_cohens_d(): Cohen's d effect size
morie_coherence(): Magnitude-squared morie_coherence between two time series
morie_coin_independence(): General independence test via coin
morie_coin_oneway(): Permutation one-way ANOVA via coin
morie_coin_wilcoxon(): Permutation Wilcoxon test via coin
morie_compare_nested_logistic_models(): Compare nested logistic-regression models via likelihood-ratio test
morie_compute_design_weights(): Compute inverse-probability design weights
morie_concordance_incomplete(): Kendall's coefficient of concordance W (Gibbons Ch 12.5)
morie_confusion_matrix_metrics(): Confusion matrix with precision / recall / F1 (R parity)
morie_contingency_coefficient(): Pearson contingency coefficient C (Gibbons Ch 14.2.1)
morie_control_comparison(): Nonparametric many-to-one comparisons to a control (Gibbons Ch 10.7)
morie_control_median_test(): Mood's median (control-median) test (Gibbons Ch 6.5)
morie_copula_fit(): Fit a copula by maximum-likelihood via copula
morie_copula_sample(): Draw a random sample from a copula via copula
morie_corrections_uof_resource_ids(): Canonical CKAN resource id table for the Corrections UoF dataset.
morie_cpads_canonicalize_frame(): Canonicalize raw CPADS PUMF columns into morie's analysis schema.
morie_cpads_contract(): Return the CPADS analysis-frame contract.
morie_cpads_has_raw_columns(): Detect whether a data frame looks like raw CPADS PUMF data.
morie_cpads_infer_file_format(): Infer the on-disk file format for a CPADS file path.
morie_cpads_missing_variables(): Identify missing canonical CPADS variables in a column set.
morie_cpads_validate_frame(): Validate a data frame against the canonical CPADS analysis contract.
morie_cpd_all_analyses(): Run the full Chicago Police Department analysis suite
morie_cramers_v(): Cramer's V for categorical association
morie_crim_etas(): Temporal ETAS model (Epidemic-Type Aftershock Sequence)
morie_crim_hawkes_multivariate(): Multivariate Hawkes process (exponential kernels)
morie_crim_near_repeat(): Knox near-repeat test (space-time interaction)
morie_crim_risk_terrain(): Risk terrain model
morie_crosstab_verify(): Prove a recode with a before/after cross-tabulation
morie_crypto_chacha20_poly1305_decrypt(): ChaCha20-Poly1305 IETF authenticated decryption
morie_crypto_chacha20_poly1305_encrypt(): ChaCha20-Poly1305 IETF authenticated encryption
morie_crypto_hkdf_sha256(): HKDF-SHA256 (RFC 5869) key derivation
morie_crypto_hqc_decaps(): HQC-128 decapsulation
morie_crypto_hqc_encaps(): HQC-128 encapsulation
morie_crypto_hqc_keygen(): HQC-128 keypair (code-based KEM)
morie_crypto_hybrid_decrypt(): Hybrid decrypt: ML-KEM-768 + ChaCha20-Poly1305
morie_crypto_hybrid_encrypt(): Hybrid encrypt: ML-KEM-768 + ChaCha20-Poly1305
morie_crypto_hybrid_keygen(): Generate an ML-KEM-768 key pair for hybrid encryption
morie_crypto_keystore_create(): Create a new empty morie keystore
morie_crypto_keystore_list(): List key names in the morie keystore
morie_crypto_keystore_load(): Load a key pair from the morie keystore
morie_crypto_keystore_store(): Store a key pair in the morie keystore
morie_crypto_lamport_keygen(): Lamport one-time signature keypair (native, SHA-256)
morie_crypto_lamport_sign(): Sign one message with a Lamport keypair (native)
morie_crypto_lamport_verify(): Verify a Lamport one-time signature (native)
morie_crypto_liboqs_available(): Is liboqs available in this morie build?
morie_crypto_liboqs_version(): liboqs runtime version string
morie_crypto_mldsa65_keygen(): ML-DSA-65 keypair generation (NIST FIPS 204)
morie_crypto_mldsa65_sign(): ML-DSA-65 signature
morie_crypto_mldsa65_verify(): ML-DSA-65 signature verification
morie_crypto_mlkem768_decaps(): ML-KEM-768 decapsulation
morie_crypto_mlkem768_encaps(): ML-KEM-768 encapsulation
morie_crypto_mlkem768_keygen(): ML-KEM-768 keypair generation (NIST FIPS 203)
morie_crypto_pqc_inventory(): Inventory of the post-quantum families available in this build
morie_crypto_random_bytes(): Cryptographically secure random bytes (libsodium)
morie_crypto_slhdsa_keygen(): SLH-DSA-SHA2-128s keypair (hash-based signatures, FIPS 205)
morie_crypto_slhdsa_sign(): SLH-DSA-SHA2-128s signature
morie_crypto_slhdsa_verify(): SLH-DSA-SHA2-128s verification
morie_crypto_sodium_available(): Is libsodium available in this morie build?
morie_crypto_sodium_version(): libsodium runtime version string
morie_dag(): Build a causal DAG
morie_dag_estimate(): Estimate the identified effect from data
morie_dag_identify(): Identify the causal effect in a DAG (backdoor criterion)
morie_dag_refute(): Refute an estimated causal effect
morie_dataset_catalog(): List all datasets in the MORIE catalog
morie_dataset_column_profile(): Build a single-column profile record.
morie_dataset_detect_role(): Detect the suggested epidemiological role of a column.
morie_dataset_infer_level(): Infer the Stevens NOIR measurement level for a single vector.
morie_dataset_info(): Get metadata for a single dataset
morie_dataset_load(): Load a dataset from a CSV / TSV / Excel / Parquet / JSON file.
morie_dataset_portal_catalog(): Build the cross-portal dataset catalog
morie_dataset_portal_catalog_clear_cache(): Clear the session-scoped portal-catalog cache
morie_dataset_profile(): Fully profile a data frame without prior schema knowledge.
morie_dataset_profile_summary_table(): Render a human-readable dataset profile summary table.
morie_dataset_profile_to_list(): Serialize a dataset profile to a plain nested list.
morie_dataset_suggest_plan(): Suggest an ordered analysis plan based on a dataset profile.
morie_dataset_summarize_column(): Compute level-appropriate summary statistics for one column.
morie_datasets_arcgis_item_by_id(): Generic by-id loader for any ArcGIS Online Feature Service item.
morie_datasets_arcgis_item_metadata(): Resolve any ArcGIS Online item id to its FeatureServer URL + canonical metadata.
morie_datasets_arsau_aggregate_summary(): Ontario Use-of-Force aggregate summary (5-year 2020-2022, pre-RBDS rollup)
morie_datasets_arsau_detailed_dataset(): Ontario Use-of-Force detailed dataset (5-year 2020-2022, pre-RBDS)
morie_datasets_arsau_uof_individual_records(): Ontario Use-of-Force individual records (one row per individual-in-incident)
morie_datasets_arsau_uof_main_records(): Ontario Use-of-Force main records (one row per incident)
morie_datasets_arsau_uof_probe_cycle_records(): Ontario Use-of-Force probe-cycle records (one row per CEW cartridge probe per individual-in-incident)
morie_datasets_arsau_uof_weapon_records(): Ontario Use-of-Force weapon records (one row per weapon per individual-in-incident)
morie_datasets_bigquery(): Pull a BigQuery table (or filtered slice) as a data.frame.
morie_datasets_browse(): Browse + filter the morie cross-portal dataset catalog
morie_datasets_calgary_community_crime_stats() morie_datasets_calgary_fire_response_calls() morie_datasets_calgary_fire_stations(): Calgary Community Crime Statistics (sample)
morie_datasets_calgary_open_crime_adjacent_layers() morie_datasets_edmonton_open_crime_adjacent_layers() morie_datasets_ottawa_open_crime_adjacent_layers(): Calgary Open Data crime-adjacent catalog
morie_datasets_calgary_socrata_by_id() morie_datasets_edmonton_socrata_by_id(): Fetch a Calgary Open Data Socrata dataset by ID
morie_datasets_chicago_arrests(): City of Chicago Open Data – Arrests feed (dpt3-jri9)
morie_datasets_chicago_community_areas(): Chicago Community Area boundaries (cauq-8yn6)
morie_datasets_chicago_crime(): City of Chicago "Crimes – 2001 to Present" feed (ijzp-q8t2)
morie_datasets_chicago_crime_map(): City of Chicago "Crimes – 2001 to Present – Map" view (ahwe-kpsy)
morie_datasets_chicago_crime_odata(): City of Chicago Crimes feed via OData v4 (ijzp-q8t2)
morie_datasets_chicago_crime_resolved(): One-call Chicago crime + boundary + dictionary join
morie_datasets_chicago_crime_soql(): City of Chicago Crimes feed – arbitrary-SoQL escape hatch
morie_datasets_chicago_iucr_codes(): Chicago Police Department – Illinois Uniform Crime Reporting (IUCR) code dictionary (c7ck-438e)
morie_datasets_chicago_neighborhoods(): Chicago Neighborhoods boundary (Office of Tourism)
morie_datasets_chicago_police_beats(): Chicago Police Beats (current) boundaries (n9it-hstw)
morie_datasets_chicago_police_districts(): Chicago Police Districts (current) boundaries (24zt-jpfn)
morie_datasets_chicago_wards(): Chicago City Council Ward boundaries (sp34-6z76)
morie_datasets_cihi_data_tables(): Catalogue of CIHI open data-table workbooks
morie_datasets_ckan_package(): Pull every CSV resource of a CKAN package as a list of data frames.
morie_datasets_ckan_search(): Search a CKAN open-data portal by free-text query.
morie_datasets_corrections_uof_ethnic_origin(): Inmate-participant ethnic origin
morie_datasets_corrections_uof_incident_type(): Incident-type lookup
morie_datasets_corrections_uof_incidents(): Use-of-force incidents (head dataset)
morie_datasets_corrections_uof_indigenous(): Inmate-participant Indigenous identity
morie_datasets_corrections_uof_inmate_incident(): Inmate-to-incidents bridging table
morie_datasets_corrections_uof_inmate_participant(): Inmate-participant demographics (head)
morie_datasets_corrections_uof_institution_summary(): Institution-level annual incident summary
morie_datasets_corrections_uof_location_summary(): Location-of-incident annual summary
morie_datasets_corrections_uof_race(): Inmate-participant race
morie_datasets_corrections_uof_religion(): Inmate-participant religion
morie_datasets_corrections_uof_select_incident_summary(): Select-incident-type annual summary
morie_datasets_corrections_uof_staff_incident(): Staff-to-incidents bridging table
morie_datasets_cpads(): Load the Canadian Postsecondary Alcohol and Drug-use Survey (CPADS)
morie_datasets_cpd_public_arrests(): Chicago Police Department – Public Arrest Data (2014-2017)
morie_datasets_edmonton_police_stations() morie_datasets_edmonton_fire_stations(): Edmonton Police Station locations
morie_datasets_external_socrata_layers(): List the external Socrata datasets wrapped by morie
morie_datasets_load_by_key(): Load a dataset by its cross-portal catalog dataset_key
morie_datasets_montreal_ckan_resource(): Fetch records from any donnees.montreal.ca CKAN datastore resource
morie_datasets_montreal_justice_safety_layers(): Donnees Montreal "Loi, justice et securite publique" catalog
morie_datasets_montreal_sim_intervention_types(): SIM intervention TYPE -> French description dictionary
morie_datasets_montreal_sim_interventions(): SIM Montreal Fire Service intervention records (sample)
morie_datasets_namus_missing_persons(): NamUs missing-persons case metadata.
morie_datasets_nibrs(): FBI NIBRS offence-event records via the Crime Data Explorer API.
morie_datasets_nist_rds(): NIST Reference Datasets (RDS) catalog metadata.
morie_datasets_nyc_boroughs(): NYC Borough Boundaries (gthc-hcne)
morie_datasets_nyc_boundaries_catalog(): Unified catalog of NYC OpenData boundary loaders
morie_datasets_nyc_community_districts(): NYC community district boundaries
morie_datasets_nyc_council_districts(): NYC City Council district boundaries
morie_datasets_nyc_ntas_2020(): NYC Neighborhood Tabulation Areas (2020)
morie_datasets_nyc_nypd_arrests_historic(): NYPD Arrests Data (Historic)
morie_datasets_nyc_nypd_arrests_ytd(): NYPD Arrest Data (Year to Date)
morie_datasets_nyc_nypd_boro_crosswalk(): NYPD borough-code cross-reference (1-letter / UPPER / numeric)
morie_datasets_nyc_nypd_by_key(): Generic NYC NYPD dataset loader by registry key
morie_datasets_nyc_nypd_complaint_historic(): NYPD Complaint Data Historic
morie_datasets_nyc_nypd_complaint_ytd(): NYPD Complaint Data Current (Year To Date)
morie_datasets_nyc_nypd_hate_crimes(): NYPD Hate Crimes
morie_datasets_nyc_nypd_law_books(): NYS / NYC statute book code dictionary
morie_datasets_nyc_nypd_layers(): List the NYPD criminal-justice Socrata datasets wrapped by morie
morie_datasets_nyc_nypd_offense_codes(): NYPD offense-code dictionary (ky_cd + pd_cd + descriptions)
morie_datasets_nyc_nypd_resolved(): One-call NYPD data + borough + precinct join
morie_datasets_nyc_nypd_uof_incidents(): NYPD Use of Force Incidents
morie_datasets_nyc_nypd_uof_subjects(): NYPD Use of Force: Subjects
morie_datasets_nyc_nypd_vehicle_stops(): NYPD Vehicle Stop Reports
morie_datasets_nyc_opendata_bulk_layers() morie_datasets_chicago_opendata_bulk_layers() morie_datasets_toronto_opendata_bulk_layers() morie_datasets_calgary_opendata_bulk_layers() morie_datasets_edmonton_opendata_bulk_layers() morie_datasets_ottawa_opendata_bulk_layers() morie_datasets_montreal_opendata_bulk_layers() morie_datasets_vancouver_opendata_bulk_layers(): NYC OpenData bulk catalog (2851 entities)
morie_datasets_nyc_police_precincts(): NYC Police Precincts boundary layer (y76i-bdw7)
morie_datasets_nyc_school_districts(): NYC public school district boundaries (NYS K-12)
morie_datasets_nyc_socrata_by_id() morie_datasets_chicago_socrata_by_id(): Fetch a NYC OpenData Socrata dataset by ID
morie_datasets_nyc_stop_and_frisk(): NYPD Stop, Question and Frisk (SQF) microdata via NYC OpenData.
morie_datasets_nyc_zctas(): NYC ZIP Code Tabulation Areas (ZCTAs)
morie_datasets_ontario_ckan_by_key(): Generic Ontario CKAN dataset loader (by registry key)
morie_datasets_ontario_ckan_layers(): List the Ontario CKAN datasets wrapped by morie
morie_datasets_otis_a01(): Load the OTIS A01 Restrictive-Confinement Detailed Dataset
morie_datasets_otis_a01_restrictive_confinement(): OTIS a01 – Restrictive Confinement (detailed per-individual)
morie_datasets_otis_b01_segregation_detailed(): OTIS b01 – Segregation detailed (per-individual episodes)
morie_datasets_otis_b02_segregation_total_days(): OTIS b02 – Segregation total days per individual
morie_datasets_otis_b03_seg_alerts_by_institution(): OTIS b03 – Segregation placements: alerts + hold by institution
morie_datasets_otis_b04_seg_consecutive_by_region(): OTIS b04 – Segregation consecutive durations by region
morie_datasets_otis_b05_seg_consecutive_lengths(): OTIS b05 – Segregation placements by consecutive-length bucket
morie_datasets_otis_b06_seg_reason_by_institution(): OTIS b06 – Segregation placements: reason for placement by institution
morie_datasets_otis_b07_seg_alerts_by_gender(): OTIS b07 – Segregation placements: alerts + hold by gender
morie_datasets_otis_b08_seg_consecutive_by_institution(): OTIS b08 – Segregation consecutive durations by institution
morie_datasets_otis_b09_seg_n_times(): OTIS b09 – Individuals in segregation by number of times placed
morie_datasets_otis_c01_individuals_total(): OTIS c01 – Total individuals (in custody / restrictive confinement / segregation)
morie_datasets_otis_c02_individuals_by_institution(): OTIS c02 – Individuals by institution
morie_datasets_otis_c03_individuals_race_by_gender(): OTIS c03 – Individuals by race x gender
morie_datasets_otis_c04_individuals_race_by_region(): OTIS c04 – Individuals by race x region
morie_datasets_otis_c05_individuals_religion_by_region(): OTIS c05 – Individuals by religion x region
morie_datasets_otis_c06_individuals_age_by_region(): OTIS c06 – Individuals by age category x region
morie_datasets_otis_c07_individuals_alerts(): OTIS c07 – Individuals: alerts + hold flags
morie_datasets_otis_c08_individuals_religion_by_gender(): OTIS c08 – Individuals by religion x gender
morie_datasets_otis_c09_individuals_age_by_gender(): OTIS c09 – Individuals by age category x gender
morie_datasets_otis_c10_aggregate_durations_by_institution(): OTIS c10 – Aggregate durations by institution
morie_datasets_otis_c11_aggregate_lengths(): OTIS c11 – Aggregate lengths
morie_datasets_otis_c12_aggregate_durations_by_region(): OTIS c12 – Aggregate durations by region
morie_datasets_otis_d01_deaths_in_custody(): OTIS Deaths-in-Custody detailed dataset (d01)
morie_datasets_otis_d02_deaths_by_gender(): OTIS d02 – Deaths in custody by gender
morie_datasets_otis_d03_deaths_by_race(): OTIS d03 – Deaths in custody by race
morie_datasets_otis_d04_deaths_by_religion(): OTIS d04 – Deaths in custody by religion
morie_datasets_otis_d05_deaths_by_age_category(): OTIS d05 – Deaths in custody by age category
morie_datasets_otis_d06_cause_by_alert(): OTIS d06 – Deaths in custody by alert type x institution
morie_datasets_otis_d07_alerts_by_housing_unit(): OTIS d07 – Deaths in custody alerts x housing unit
morie_datasets_siu_director_reports(): SIU director's-reports index (legacy PDF anchors).
morie_datasets_siu_report_fields(): Extract structured fields from an SIU director's-report text or URL.
morie_datasets_siu_report_text(): Download an SIU director's-report PDF and return its plain text.
morie_datasets_statcan_ccjs_cubes(): Statistics Canada CCJS cube registry (curated subset)
morie_datasets_statcan_cube_metadata(): Fetch a StatCan cube's metadata (dimensions + members) via WDS
morie_datasets_statcan_full_csv_url(): Get the bulk-CSV download URL for a StatCan cube
morie_datasets_statcan_vectors(): Fetch the latest N periods for a set of StatCan vectors via WDS
morie_datasets_summary(): Tally the cross-portal catalog by source + api_mode
morie_datasets_toronto_ambulance_stations(): Toronto Ambulance station locations
morie_datasets_toronto_asr_miscellaneous(): TPS Annual Statistical Report – Miscellaneous data (aggregated)
morie_datasets_toronto_open_ckan_resource(): Fetch records from any open.toronto.ca CKAN resource
morie_datasets_toronto_open_crime_adjacent_layers(): Toronto Open Data crime-adjacent CKAN catalog
morie_datasets_toronto_zoning_per_neighbourhood(): Toronto Zoning per Neighbourhood (EsriCanadaEducation)
morie_datasets_tps_2008_firs(): 2008 FIRS
morie_datasets_tps_2009_firs(): 2009 FIRS
morie_datasets_tps_2010_firs(): 2010 FIRS
morie_datasets_tps_2011_firs(): 2011 FIRS
morie_datasets_tps_2012_firs(): 2012 FIRS
morie_datasets_tps_2013_firs(): 2013 FIRS
morie_datasets_tps_administrative(): Administrative (ASR-AD-TBL-001)
morie_datasets_tps_arcgis_hub_by_id(): Generic TPS ArcGIS Hub dataset loader by hub_id
morie_datasets_tps_arcgis_hub_download(): Direct multi-format downloader (binary or text) for a TPS Hub item
morie_datasets_tps_arcgis_hub_layers(): List the Toronto Police Service ArcGIS Hub datasets wrapped by morie
morie_datasets_tps_arrested_and_charged_persons(): Arrested and Charged Persons (ASR-ENF-TBL-001)
morie_datasets_tps_arrests_and_strip_searches(): Arrests and Strip Searches (RBDC-ARR-TBL-001)
morie_datasets_tps_assault(): TPS PSDP – Assault
morie_datasets_tps_automobile_ksi(): Automobile KSI
morie_datasets_tps_autotheft(): TPS PSDP – Auto Theft
morie_datasets_tps_bicycle_thefts(): Bicycle Thefts Open Data
morie_datasets_tps_bicycletheft(): TPS PSDP – Bicycle Theft
morie_datasets_tps_breakandenter(): TPS PSDP – Break and Enter
morie_datasets_tps_budget_2020(): Budget_2020
morie_datasets_tps_budget_2021(): Budget_2021
morie_datasets_tps_budget_2022(): Budget_2022
morie_datasets_tps_budget_2023(): Budget_2023
morie_datasets_tps_budget_2024(): Budget_2024
morie_datasets_tps_budget_2025(): Budget_2025
morie_datasets_tps_budget_2026(): Budget_2026
morie_datasets_tps_budget_by_command(): Budget_by_Command
morie_datasets_tps_calls_for_service_attended(): Calls for Service Attended (ASR-CS-TBL-003)
morie_datasets_tps_community_safety_indicators(): Community Safety Indicators Open Data
morie_datasets_tps_complaint_dispositions(): Complaint Dispositions (ASR-PCF-TBL-003)
morie_datasets_tps_cyclist_ksi(): Cyclist KSI
morie_datasets_tps_dispatched_calls_by_division(): Dispatched Calls by Division (ASR-CS-TBL-001)
morie_datasets_tps_facilities(): Facilities
morie_datasets_tps_fatals_ksi(): Fatals KSI
morie_datasets_tps_firearms_top_calibres(): Firearms Top Calibres (ASR-F-TBL-001)
morie_datasets_tps_gross_expenditures_by_division(): Gross Expenditures by Division (ASR-PB-TBL-001)
morie_datasets_tps_gross_operating_budget(): Gross Operating Budget (ASR-PB-TBL-005)
morie_datasets_tps_hatecrimes(): TPS PSDP – Hate Crimes
morie_datasets_tps_homicide(): TPS Homicides feed.
morie_datasets_tps_homicides(): TPS PSDP – Homicides
morie_datasets_tps_intimate_partner_family_violence(): TPS PSDP – Intimate Partner and Family Violence
morie_datasets_tps_investigated_alleged_misconduct(): Investigated Alleged Misconduct (ASR-PCF-TBL-002)
morie_datasets_tps_killed_and_seriously_injured(): Killed and Seriously Injured
morie_datasets_tps_layers(): List the TPS open-data layers included with morie.
morie_datasets_tps_major_crime(): TPS Major Crime Indicators feed.
morie_datasets_tps_mha_apprehensions(): TPS Mental Health Act Apprehensions (PSDP)
morie_datasets_tps_miscellaneous_calls_for_service(): Miscellaneous Calls for Service (ASR-CS-TBL-002)
morie_datasets_tps_miscellaneous_data(): Miscellaneous Data (ASR-MISC-TBL-001)
morie_datasets_tps_miscellaneous_firearms(): Miscellaneous Firearms (ASR-F-TBL-003)
morie_datasets_tps_motorcylist_ksi(): Motorcylist KSI
morie_datasets_tps_neighbourhood_crime_rates(): Neighbourhood Crime Rates Open Data
morie_datasets_tps_passenger_ksi(): Passenger KSI
morie_datasets_tps_patrol_zone(): Patrol Zone
morie_datasets_tps_pedestrian_ksi(): Pedestrian KSI
morie_datasets_tps_personnel_by_command(): Personnel by Command (ASR-PB-TBL-004)
morie_datasets_tps_personnel_by_rank(): Personnel by Rank (ASR-PB-TBL-002)
morie_datasets_tps_personnel_by_rank_by_division(): Personnel by Rank by Division (ASR-PB-TBL-003)
morie_datasets_tps_persons_in_crisis_calls_for_service_attended(): Persons in Crisis Calls for Service Attended Open Data
morie_datasets_tps_police_divisions(): Toronto Police Service police division boundaries
morie_datasets_tps_psdp_resolved(): One-call TPS PSDP data + boundary metadata join
morie_datasets_tps_regulated_interactions(): Regulated Interactions (ASR-RI-TBL-001)
morie_datasets_tps_reported_crimes(): Reported Crimes (ASR-RC-TBL-001)
morie_datasets_tps_robbery(): TPS PSDP – Robbery
morie_datasets_tps_search_of_persons(): Search of Persons (ASR-SP-TBL-001)
morie_datasets_tps_shooting_firearm_discharges(): TPS PSDP – Shooting and Firearm Discharges
morie_datasets_tps_shootings(): TPS Shootings and Firearm Discharges feed.
morie_datasets_tps_staffing_by_command(): Staffing_by_Command
morie_datasets_tps_theft_from_motor_vehicle(): TPS PSDP – Theft From Motor Vehicle
morie_datasets_tps_theft_over(): TPS PSDP – Theft Over
morie_datasets_tps_tickets_issued(): Tickets Issued (ASR-ENF-TBL-002)
morie_datasets_tps_top_20_offences_of_firearm_seizures(): Top 20 Offences of Firearm Seizures (ASR-F-TBL-002)
morie_datasets_tps_total_public_complaints(): Total Public Complaints (ASR-PCF-TBL-001)
morie_datasets_tps_traffic_collisions(): Traffic Collisions Open Data (ASR-T-TBL-001)
morie_datasets_tps_use_of_force_call_for_service_types(): Use of Force: Call for Service Types (RBDC-UOF-TBL-004)
morie_datasets_tps_use_of_force_call_sources_by_month(): Use of Force: Call Sources by Month (RBDC-UOF-TBL-001)
morie_datasets_tps_use_of_force_gender_composition(): Use of Force: Gender Composition (RBDC-UOF-TBL-006)
morie_datasets_tps_use_of_force_location_of_occurrences(): Use of Force: Location of Occurrences (RBDC-UOF-TBL-003)
morie_datasets_tps_use_of_force_occurrence_category(): Use of Force: Occurrence Category (RBDC-UOF-TBL-005)
morie_datasets_tps_use_of_force_time_of_day_trends(): Use of Force: Time of Day Trends (RBDC-UOF-TBL-002)
morie_datasets_tps_use_of_force_use_of_force_types_and_perceived_weapons(): Use of Force: Use of Force Types and Perceived Weapons (RBDC-UOF-TBL-007)
morie_datasets_tps_victims_of_crime(): Victims of Crime (ASR-VC-TBL-001)
morie_datasets_vancouver_opendata_by_id(): Fetch records from a Vancouver Open Data dataset by ID
morie_datasets_vancouver_opendata_layers(): Vancouver Open Data full dataset catalog (Opendatasoft v2.1)
morie_datasets_vpd_crime(): Load Vancouver Police Department crime incident data
morie_datasets_vpd_legal_disclaimer(): Read VPD's legal disclaimer (included verbatim from the zip)
morie_datasette_databases(): List the databases served by a Datasette instance
morie_datasette_read(): Read rows from a Datasette table (or run read-only SQL)
morie_db_connect(): Connect to the MORIE cache database
morie_db_create_indexes(): Create the recommended B-tree indexes for a morie cache table
morie_dbscan_clustering(): DBSCAN density-based clustering (R parity)
morie_dcc_multivariate_garch(): DCC multivariate GARCH (Engle 2002)
morie_decision_tree_split(): Decision tree split (R parity)
morie_deep_learning_genomic(): Single-hidden-layer MLP genomic predictor (base R)
morie_default_synthetic_name_map(): Default synthetic-data variable name map
morie_default_workflow_map(): Default workflow step map
morie_desc_atkinson(): Atkinson inequality index via DescTools
morie_desc_cramers_v(): Cramer's V via DescTools
morie_desc_gini(): Gini coefficient via DescTools
morie_desc_kappa(): Cohen / Fleiss kappa via DescTools
morie_desc_winsorize(): Winsorize a numeric vector via DescTools
morie_describe(): Print the pedagogical narrative for a morie callable.
morie_describe_by_name(): String-only variant of morie_describe.
morie_design_effect(): Design effect (DEFF)
morie_det_rng(): SHA-keyed deterministic RNG for Py<->R parity
morie_det_rng_sha_hex(): SHA-256 hex digest of "name:seed" (for Py<->R cross-check)
morie_did(): Difference-in-differences with automatic staggered-design handling
morie_did_2x2(): Classic 2x2 Difference-in-Differences estimator
morie_did_aggregate_gt_att(): Aggregate group-time ATTs into summary parameters
morie_did_bacon_decomposition(): Goodman-Bacon decomposition of the TWFE DiD estimator
morie_did_borusyak(): Borusyak, Jaravel & Spiess (2024) imputation estimator
morie_did_chaisemartin_dhaultfoeuille(): Heterogeneity-robust DiD (de Chaisemartin & D'Haultfoeuille, 2020)
morie_did_continuous_treatment(): DiD with a continuous (dose) treatment
morie_did_diagnostics(): Comprehensive diagnostics for a 2x2 DiD setting
morie_did_did2s(): Gardner (2022) two-stage difference-in-differences
morie_did_doubly_robust(): Doubly-robust DiD (Sant'Anna & Zhao, 2020)
morie_did_event_study(): Event-study DiD specification
morie_did_fuzzy(): Fuzzy DiD (LATE) via 2SLS
morie_did_group_time_att(): Callaway–Sant'Anna group-time average treatment effects
morie_did_heterogeneous(): Heterogeneity-robust DiD by sub-group / moderator quantile
morie_did_honest_sensitivity(): Honest (relative-magnitudes) sensitivity for event-study estimates
morie_did_panel_fe(): Two-way fixed-effects DiD (panel)
morie_did_parallel_trends_data(): Group-by-time outcome means for parallel-trends visualisation
morie_did_placebo_test_group(): Placebo DiD on sub-groups expected to be unaffected
morie_did_placebo_test_outcome(): Placebo DiD on outcomes that should be unaffected
morie_did_placebo_test_time(): Placebo DiD at fake treatment times
morie_did_repeated_cross_section(): Repeated cross-section DiD (optionally weighted)
morie_did_sensitivity_analysis(): Sensitivity of DiD estimate to parallel-trends violations
morie_did_staggered(): Staggered DiD via group-time ATTs with aggregation
morie_did_sun_abraham(): Sun & Abraham (2021) interaction-weighted event study
morie_did_synthdid_estimate(): Synthetic DiD, explicit-name API (native)
morie_did_synthetic(): Synthetic Difference-in-Differences (Arkhangelsky et al., 2021)
morie_did_test_parallel_trends(): Pre-trend test for parallel trends
morie_did_triple_difference(): Triple-difference (DDD) estimator
morie_did_twoway_fe_weights(): Diagnose TWFE-DiD weights (de Chaisemartin & D'Haultfoeuille, 2020)
morie_did_wild_cluster_bootstrap(): DiD with wild cluster bootstrap p-values (Cameron-Gelbach-Miller, 2008)
morie_difference_sign_test(): Difference-sign test (native)
morie_diffu_diffusion_forward(): DDPM forward (noising) process
morie_dist_cdf(): Cumulative distribution function at points
morie_dist_integrate(): Integrate a function against a distribution's support, with checks
morie_dist_moment(): A moment of a distribution, analytically or by integration
morie_dist_pdf(): Density / mass of a distribution at points
morie_dist_quantile(): Quantile function
morie_dist_sum(): Sum a discrete distribution's mass (or a moment) with convergence check
morie_distribution(): Construct a general probability-distribution object
morie_dml_clustered(): Cluster-robust double machine learning for the ATE
morie_download(): Download a file with an automatic Wayback fallback (via rmoriebricklayer)
morie_download_bootstrap(): Download bootstrap weight files from CKAN API
morie_dp_gaussian_mixture(): Bayesian nonparametric DP Gaussian mixture via dirichletprocess
morie_dsp_acf_from_psd(): Autocorrelation from PSD (Wiener-Khinchin)
morie_dsp_alpha_trimmed_mean(): Alpha-trimmed mean filter
morie_dsp_amplitude_histogram(): Amplitude histogram features
morie_dsp_arc_length(): Signal arc length
morie_dsp_band_power(): Bandpower over [f_low, f_high]
morie_dsp_baseline_correlation(): Baseline-corrected Pearson correlation
morie_dsp_centroidal_time(): Centroidal time
morie_dsp_coherence(): Coherence-squared spectrum
morie_dsp_coherence_spectrum(): Coherence spectrum (alias to morie_dsp_coherence)
morie_dsp_comb(): Comb filter built from cascaded notches
morie_dsp_complex_cepstrum(): Complex cepstrum
morie_dsp_complex_demodulation(): Complex demodulation around a carrier
morie_dsp_crest_factor(): Crest factor (peak / RMS)
morie_dsp_cross_correlation(): Normalised cross-correlation up to a maximum lag
morie_dsp_csd(): Cross-spectral density (Welch)
morie_dsp_cv(): Coefficient of variation
morie_dsp_derivative_detect(): Derivative-based peak detection
morie_dsp_dicrotic_notch(): Dicrotic-notch detection in pulse waves
morie_dsp_ensemble_average(): Ensemble average over fixed-length segments
morie_dsp_entropy_histogram(): Shannon entropy from amplitude histogram
morie_dsp_even_odd(): Even-odd decomposition of a finite signal
morie_dsp_fbm_synthesis(): Fractional Brownian motion synthesis (1/f^beta)
morie_dsp_form_factor(): Form factor (RMS / mean-absolute)
morie_dsp_fractal_dim_psd(): Fractal dimension from log-log PSD slope
morie_dsp_hann_filter(): Hann-windowed smoothing filter
morie_dsp_higuchi_fd(): Higuchi fractal dimension
morie_dsp_hilbert_envelope(): Hilbert envelope
morie_dsp_hjorth(): All three Hjorth parameters
morie_dsp_hjorth_activity(): Hjorth activity (variance)
morie_dsp_hjorth_complexity(): Hjorth complexity
morie_dsp_hjorth_mobility(): Hjorth mobility
morie_dsp_homomorphic(): Homomorphic high-pass filter
morie_dsp_hr_from_rr(): Heart rate from RR intervals (BPM)
morie_dsp_integrated_emg(): Integrated EMG (sum of absolute values)
morie_dsp_katz_fd(): Katz / box-counting fractal dimension
morie_dsp_lms(): LMS adaptive filter (Widrow-Hoff)
morie_dsp_matched(): Matched filter (time-reversed template correlator)
morie_dsp_mean_abs(): Mean absolute value
morie_dsp_mean_frequency(): Mean frequency from PSD
morie_dsp_median_filter(): Median filter
morie_dsp_median_frequency(): Median frequency from PSD
morie_dsp_min_phase(): Minimum-phase correspondent via cepstral folding
morie_dsp_moving_average(): Moving-average filter (boxcar)
morie_dsp_myopulse_rate(): Myopulse percentage rate
morie_dsp_nlms(): NLMS adaptive filter
morie_dsp_notch(): IIR notch filter (single frequency)
morie_dsp_onset_detect(): Energy-onset detection
morie_dsp_pan_tompkins(): Pan-Tompkins QRS detector
morie_dsp_parzen_pdf(): Parzen kernel density estimate
morie_dsp_psd_bartlett(): Bartlett PSD estimate
morie_dsp_psd_periodogram(): Periodogram PSD estimate
morie_dsp_psd_to_db(): Convert PSD to decibels
morie_dsp_psd_welch(): Welch PSD estimate (rmorie native)
morie_dsp_qrs_features(): QRS-style waveform descriptors
morie_dsp_rls(): RLS adaptive filter
morie_dsp_rms(): Root mean square
morie_dsp_ruler_fd(): Ruler / divider fractal dimension
morie_dsp_shannon_energy(): Shannon-energy envelope
morie_dsp_shape_factor(): Shape factor (mean-absolute / mean-sqrt-absolute-squared)
morie_dsp_slope_sign_changes(): Slope sign changes
morie_dsp_snr(): Signal-to-noise ratio estimate (dB)
morie_dsp_snr_improvement(): SNR improvement attributable to a filter (dB)
morie_dsp_spectral_edge(): Spectral edge frequency (e.g. SEF95)
morie_dsp_spectral_entropy(): Spectral entropy (Shannon, base 2)
morie_dsp_spectral_flatness(): Spectral flatness (Wiener entropy)
morie_dsp_spectral_kurtosis(): Spectral kurtosis from PSD
morie_dsp_spectral_moment(): k-th spectral moment
morie_dsp_spectral_ratio(): Spectral power ratio between two bands
morie_dsp_synchronized_average(): Synchronized average around trigger indices
morie_dsp_t_wave(): T-wave detection by post-QRS argmax search
morie_dsp_teager_energy(): Teager-Kaiser energy operator
morie_dsp_template_match(): Normalised template matching
morie_dsp_threshold_detect(): Threshold-based event detection
morie_dsp_turning_points(): Turning-points stationarity test
morie_dsp_turns_count(): Willison turns count
morie_dsp_variance_ratio(): Variance ratio (x vs. y)
morie_dsp_waveform_length(): Waveform length (total variation)
morie_dsp_waveform_length_norm(): Per-sample (normalised) waveform length
morie_dsp_wiener_filter(): Wiener filter (frequency domain)
morie_dsp_wiener_hopf(): Solve the Wiener-Hopf normal equations
morie_dsp_willison_amplitude(): Willison amplitude
morie_dsp_window(): Window function generator
morie_dsp_zero_crossing(): Zero-crossing rate
morie_e_value(): Compute E-value for unmeasured confounding
morie_eda_as_vector(): Strip attributes from a vector for attribute-agnostic processing
morie_eda_compare(): Standardised comparison of several tables' summaries
morie_eda_dataset(): Bundle several EDA tables into an explicit multi-table dataset
morie_eda_index(): The index column name of an EDA table
morie_eda_join(): Join two EDA tables on an explicitly named column
morie_eda_plot(): Accessible exploratory plot of one variable against another
morie_eda_summary(): Automatic per-variable summary of a table (meta-level extraction)
morie_eda_table(): Construct an EDA table with an explicit index column
morie_effective_sample_size(): Kish effective sample size
morie_effects_comparisons(): Contrasts / comparisons via marginaleffects
morie_effects_emmeans(): Estimated marginal means via emmeans
morie_effects_predictions(): Adjusted predictions via marginaleffects
morie_effects_slopes(): Marginal slopes (partial derivatives) via marginaleffects
morie_effects_tidy(): Tidy a model with broom (fallback: summary() coefficients)
morie_eg_coint(): Engle-Granger two-step cointegration test
morie_egarch_model(): EGARCH(1,1) asymmetric volatility model
morie_ensure_extras(): Ensure optional packages are installed (interactive helper)
morie_entheo_analyze_subject(): Per-subject DMT vs PCB BOLD pipeline
morie_entheo_available_subjects(): DMT_Imaging: list motion-survived subject IDs
morie_entheo_clone_dmt_imaging(): Clone the DMT_Imaging dataset (Timmerman et al.) into a local cache.
morie_entheo_dataset_overview(): DMT_Imaging: dataset overview
morie_entheo_dynamic_functional_connectivity(): Sliding-window dynamic functional connectivity (dRSFC)
morie_entheo_load_eeg_region(): DMT_Imaging: load IRASA EEG regressors for one cortical region
morie_entheo_load_fmri_subject(): DMT_Imaging: load one subject's BOLD AAL parcellation
morie_entheo_lz_complexity(): Lempel-Ziv (LZ76) complexity of a binarised signal
morie_entheo_spectral_band_power(): EEG band-power decomposition via Welch PSD
morie_estimate_aipw(): Augmented IPW (AIPW) doubly-robust ATE estimator
morie_estimate_atc(): Estimate the Average Treatment Effect on the Controls (ATC)
morie_estimate_ate(): Estimate the Average Treatment Effect (ATE) via Hajek IPW
morie_estimate_att(): Estimate the Average Treatment Effect on the Treated (ATT)
morie_estimate_cate(): Estimate per-unit Conditional Average Treatment Effects (CATE)
morie_estimate_double_ml(): Estimate ATE via Double Machine Learning (Partially Linear Regression)
morie_estimate_dr_forest(): Doubly-robust ATE via causal forest (grf)
morie_estimate_g_computation(): G-computation (outcome regression) ATE estimator
morie_estimate_gate(): Estimate Group Average Treatment Effects (GATE)
morie_estimate_irm(): Estimate the ATE via the Interactive Regression Model (IRM)
morie_estimate_late(): Estimate the Local Average Treatment Effect (LATE) via 2SLS / Wald
morie_estimate_propensity_scores(): Estimate propensity scores via logistic regression
morie_evalue(): E-value for a bias-scale effect estimate (native)
morie_ewma_volatility(): EWMA volatility (RiskMetrics 1996)
morie_fairness_apply_profile(): Rename a city data.frame onto the canonical audit schema
morie_fairness_average_odds_difference(): Average Odds Difference (mean of TPR and FPR gaps)
morie_fairness_bias_amplification(): Bias Amplification Score (parity gap x Gini of group rates)
morie_fairness_city_profile(): Construct a city profile (column map onto the canonical audit schema)
morie_fairness_column_map(): Column map for a city profile
morie_fairness_demographic_parity(): Demographic Parity Gap (difference in favourable-outcome rates)
morie_fairness_disparate_impact(): Disparate Impact Ratio (EEOC four-fifths / 80% rule)
morie_fairness_equalized_odds(): Equalized Odds (TPR / FPR gaps across groups)
morie_fairness_get_city(): Look up a registered city profile by case-insensitive name
morie_fairness_gini(): Gini coefficient (concentration of a non-negative distribution)
morie_fairness_list_cities(): List registered city profile names
morie_fairness_noisy_or_detection(): Noisy-OR patrol-detection probabilities
morie_fairness_predpol: Predictive-policing disparity audit (port of morie.fairness.predpol)
morie_fairness_predpol_aggregate_areas(): Aggregate per-record predictive-policing data to per-area
morie_fairness_predpol_calibration_audit(): Predicted-vs-realised rank audit by demographic group
morie_fairness_predpol_score_disparity(): Descriptive score-by-group disparity
morie_fairness_predpol_temporal_audit(): Audit how disparity metrics move over time and across cities
morie_fairness_register_city(): Register a city profile in the process-local registry
morie_fairness_simulate_biased_crime_data(): Synthetic predictive-policing dataset with a known disparity
morie_fairness_simulation: Simulation primitives for the predictive-policing audit subsystem
morie_fairness_xai: Model-agnostic explainability (XAI) for bias discovery
morie_fairness_xai_ale(): First-order Accumulated Local Effects (Apley & Zhu)
morie_fairness_xai_ceteris_paribus(): Ceteris-paribus profile for one instance
morie_fairness_xai_partial_dependence(): Partial dependence on one feature (Friedman)
morie_fairness_xai_permutation_importance(): Permutation feature importance (model-agnostic)
morie_fairness_xai_shap_values(): Shapley feature attributions for one instance (sampling estimator)
morie_fast_available(): Is the R-side JIT acceleration active?
morie_fdr_qvalues(): FDR / q-values / tail-area p-values via fdrtool
morie_fetch(): Fetch a dataset from any URL, with automatic format detection
morie_fetch_arcgis(): Query an ArcGIS FeatureServer / MapServer layer
morie_fetch_ckan(): Fetch data from the CKAN API and cache it
morie_fetch_csv(): Read CSV/TSV natively
morie_fetch_html(): Parse HTML natively (tolerant tag scanner, pure R)
morie_fetch_json(): Parse JSON text natively (pure R)
morie_fetch_parquet(): Minimal native Parquet reader (pure R)
morie_fetch_siu(): Fetch the Ontario SIU corpus into a 64-column SIU.csv
morie_fetch_tps(): Fetch a TPS category from the Toronto Police ArcGIS REST endpoint
morie_fetch_unified(): Unified fetch dispatcher
morie_fetch_xml(): Parse XML natively into a list tree (pure R)
morie_fisher_exact_test(): Fisher's exact test for 2x2 tables
morie_garch_fit(): Fit a GARCH(1,1) model to a return series
morie_gblup_full(): GBLUP – full mixed-model implementation
morie_generate_ar_coefficients(): Generate a stationarity-preserving AR coefficient matrix
morie_generate_synthetic_data(): Generate synthetic epidemiology-style tabular data
morie_generate_var_coefficients(): Generate a VAR(L) coefficient array as a 3-d list
morie_genomic_cross_validation(): K-fold cross-validation for genomic-prediction accuracy
morie_geostat_krige(): Kriging interpolation via gstat
morie_geostat_variogram(): Empirical variogram via gstat
morie_ghosal_adaptation(): Adaptive contraction rates over a smoothness grid.
morie_ghosal_bernstein_von_mises(): BvM diagnostic for the mean functional under a DP prior.
morie_ghosal_contraction_rate(): Minimax posterior-contraction rate
morie_ghosal_dirichlet_posterior(): Dirichlet-process posterior (conjugate update)
morie_ghosal_dpmixture_density(): DP mixture density estimate (Neal 2000 algorithm 3)
morie_ghosal_empirical_bayes(): Empirical-Bayes alpha MLE for a DP, given the observed K_n.
morie_ghosal_gp_matern(): GP posterior mean with Matern kernel.
morie_ghosal_gp_squared_exponential(): GP posterior mean with squared-exponential kernel.
morie_ghosal_hierarchical_bayes(): Escobar-West augmentation for alpha given K_n with a Gamma(a, b) hyperprior.
morie_ghosal_log_density(): Log-spline density estimator (Stone 1990, Ghosal Ch 8).
morie_ghosal_moment_matching(): Posterior mean / variance of G(A) for DP(alpha, G0) and A = (A_lower, A_upper].
morie_ghosal_neutral_right(): Neutral-to-the-right posterior survival (Doksum 1974).
morie_ghosal_np_classification(): Probit-GP classifier (Laplace approximation).
morie_ghosal_np_regression(): GP nonparametric regression
morie_ghosal_np_testing(): Polya-tree Bayes factor for H0: F = N(loc, scale^2).
morie_ghosal_posterior_consistency(): Schwartz posterior-consistency diagnostic (Bayesian bootstrap).
morie_ghosal_sieve_prior(): Bernstein-polynomial sieve density estimator (Petrone 1999).
morie_ghosal_stick_breaking_trunc(): Truncated stick-breaking representation of DP(alpha, G0).
morie_ghosal_survival_beta_process(): Beta-process posterior survival (Hjort 1990).
morie_ghosal_wavelet_prior(): Haar-wavelet spike-and-slab BayesThresh estimator (Abramovich 1998).
morie_glm_nb(): Native negative-binomial GLM (reproduces MASS::glm.nb)
morie_gpl_compatible_licenses(): Vector of SPDX identifiers recognised as GPL-compatible
morie_gradient_boosting_ensemble(): Gradient boosting ensemble (R parity)
morie_gradient_boosting_genomic(): Gradient-boosting genomic predictor (Friedman 2001)
morie_gradient_descent_vanilla(): Vanilla batch gradient descent for OLS (R parity)
morie_grid_search_cv(): Grid search with cross-validation (R parity)
morie_grm_vanraden(): VanRaden Genomic Relationship Matrix
morie_gxe_interaction_model(): Two-way GxE ANOVA with EMS variance components
morie_hawkes_fit(): Fit a Hawkes (self-exciting point process) model by maximum likelihood
morie_hawkes_st_fit(): Fit a spatiotemporal Hawkes process by maximum likelihood
morie_hawkes_st_intensity(): Conditional intensity of a spatiotemporal Hawkes process at a query point
morie_hawkes_st_loglik(): Log-likelihood of a spatiotemporal Hawkes process
morie_hawkes_st_simulate(): Simulate a spatiotemporal Hawkes process (immigrant-offspring branching)
morie_hurst_r(): Hurst exponent via rescaled-range (R/S) analysis
morie_indep_test(): Native general independence permutation test
morie_infer_measurement_level(): Infer the measurement level of a vector
morie_ingest_bigquery_build_sql(): Build a parameter-safe BigQuery SELECT
morie_ingest_bigquery_query(): Execute a BigQuery SQL query and return a data.frame
morie_ingest_bigquery_table(): Pull a BigQuery table (or filtered slice) into a data.frame
morie_ingest_chicago_crime(): Pull the City of Chicago "Crimes - 2001 to Present" feed
morie_ingest_chicago_crime_bigquery(): BigQuery mirror of the Chicago crime feed
morie_ingest_chicago_resources(): Built-in Chicago / Socrata resource registry
morie_ingest_chicago_socrata(): Fetch every row from a Socrata SoDA JSON endpoint
morie_ingest_cihi_xlsx(): Download a CIHI indicator .xlsx data table
morie_ingest_ckan_fetch_package_csvs(): Fetch every CSV / TSV resource in a CKAN package
morie_ingest_ckan_package_search(): Search a CKAN portal for packages (raw)
morie_ingest_ckan_package_show(): Fetch one CKAN package's metadata
morie_ingest_ckan_read_resource(): Download a CKAN resource as a data.frame
morie_ingest_ckan_resource_show(): Fetch one CKAN resource's metadata
morie_ingest_ckan_search_packages(): Search a CKAN portal and return a flat metadata data.frame
morie_ingest_forensics_namus_missing(): Pull NamUs missing-persons case metadata
morie_ingest_forensics_nibrs(): Pull FBI NIBRS offence-event records via Crime Data Explorer
morie_ingest_forensics_nist_rds(): Pull NIST Reference Datasets (RDS) catalog metadata
morie_ingest_statcan_cansim(): Fetch a Statistics Canada NDM / cansim table
morie_ingest_statcan_csv(): Download a StatCan PUMF / CSV product
morie_ingest_statcan_vectors(): Fetch StatCan series by vector ID (keyless WDS, latest-N periods)
morie_ingest_tps_feature_layer(): Fetch every feature from a TPS ArcGIS FeatureServer layer
morie_ingest_tps_fetch(): Fetch a TPS open-data layer by short name
morie_ingest_tps_layers(): Built-in TPS open-data layer registry
morie_inspect_output(): Inspect a serialised analysis output (JSON, CSV, or RDS)
morie_install_extras(): Install morie's optional dependencies (interactive helper)
morie_irt_2pl(): Fit a two-parameter logistic (2PL) IRT model
morie_irt_eap(): EAP ability scores for new respondents under a fitted 2PL model
morie_irt_grm(): Fit Samejima's graded response model (GRM)
morie_is_over_legal_limit(): Test whether an eBAC exceeds a legal driving limit
morie_its(): Interrupted time-series analysis (segmented regression)
morie_iv_2sls(): Two-stage least squares with a weak-instrument refusal gate
morie_iv_anderson_rubin(): Anderson-Rubin (AR) weak-IV-robust test
morie_iv_anderson_rubin_ci(): Grid-based Anderson-Rubin confidence interval for a single endogenous variable.
morie_iv_conditional_lr(): Conditional likelihood-ratio (CLR) test of Moreira (2003)
morie_iv_control_function(): Control-function (residual augmentation) IV
morie_iv_cragg_donald(): Cragg-Donald weak-instrument F statistic
morie_iv_cue_gmm(): Continuously-Updated GMM (CUE-GMM)
morie_iv_diagnostics(): Composite IV diagnostics
morie_iv_durbin_wu_hausman(): Durbin-Wu-Hausman test of endogeneity
morie_iv_first_stage_diagnostics(): First-stage F-statistics and partial R^2
morie_iv_gmm(): Generalised Method of Moments (GMM) IV
morie_iv_hansen_j(): Hansen J test of overidentifying restrictions (robust)
morie_iv_hausman(): Hausman test: OLS vs 2SLS
morie_iv_jive(): Jackknife IV (JIVE; Angrist, Imbens & Krueger 1999)
morie_iv_kleibergen_paap(): Kleibergen-Paap rank statistic
morie_iv_liml(): Limited-Information Maximum Likelihood (LIML)
morie_iv_panel(): Panel IV with unit (and optional time) fixed effects via within-transform
morie_iv_probit(): IV Probit (Rivers-Vuong control function)
morie_iv_residual_analysis(): IV residual analysis
morie_iv_sargan(): Sargan test of overidentifying restrictions (homoskedastic)
morie_iv_split_sample(): Split-sample IV
morie_iv_stock_yogo(): Stock-Yogo critical values
morie_iv_tsls(): Two-Stage Least Squares (2SLS)
morie_iv_wald(): Wald (single-instrument) estimator
morie_jackknife_estimate(): Delete-1 jackknife variance estimate
morie_johansen_cointegration(): Johansen trace test for cointegration
morie_json_stringify(): Serialize an R object to JSON natively (pure R)
morie_kalman_filter(): Kalman filter predict-update for a linear-Gaussian state-space model
morie_kde2d(): Native 2-D kernel density estimate (reproduces MASS::kde2d)
morie_kendall_tau(): Kendall's tau-b
morie_kendall_tau_partial(): Kendall partial-tau correlation (Gibbons Ch 12.6)
morie_kernel_pca(): Kernel principal components analysis via kernlab
morie_kmeans_clustering(): K-means clustering (R parity)
morie_kruskal_wallis_test(): Kruskal-Wallis non-parametric ANOVA
morie_laniyonu_actuarial_risk_disparity(): Replication of O'Connell & Laniyonu (2025) — CSC actuarial-risk disparity
morie_laniyonu_gentrification_policing(): Replication of Laniyonu (2018) — Coffee Shops and Street Stops
morie_laniyonu_smi_force_disparity(): Replication of Laniyonu & Goff (2021) — Police force vs SMI disparity
morie_lcmm_latent_class(): Latent-class mixed models via lcmm
morie_learning_curve(): Learning curve – train / val MSE vs training-set size (R parity)
morie_levene_test(): Levene test for equality of variances
morie_license_metadata(): morie's SPDX-style licence metadata
morie_linear_regression_ols(): Ordinary least squares closed-form solution (R parity)
morie_list_datasets(): List all datasets with cache status
morie_list_morie_modules(): List implemented MORIE CPADS modules
morie_llm_agent_available(): Return TRUE when at least one live LLM provider is available
morie_llm_ask(): Send a prompt to the best available LLM provider
morie_llm_ask_multi(): Ask the best available LLM provider, accepting a multi-turn messages list
morie_llm_detect_provider(): Detect the active LLM provider
morie_llm_ollama_models(): List the models an Ollama server is serving
morie_llm_probe_ollama(): Probe a local Ollama instance
morie_llm_request_completion(): POST a chat-completion request to an OpenAI-compatible endpoint
morie_lm(): Fit a regression model with a full model-object contract
morie_lm_scaling(): Scaling of a morie_lm fit with the number of observations
morie_load_cpads(): Load CPADS data: local files -> cache -> CKAN API
morie_load_cpads_data(): Load the real CPADS CSV from this repository
morie_load_dataset(): Load a dataset by catalog key
morie_locfdr_estimate(): Local FDR estimation via locfdr
morie_mann_whitney_test(): Mann-Whitney U test (Wilcoxon rank-sum)
morie_marker_variance(): Marker variance-component estimation
morie_matching_abadie_imbens_se(): Abadie-Imbens standard error for matching estimators
morie_matching_atc_matched(): ATC from a matched sample
morie_matching_ate_matched(): ATE from a matched / weighted sample
morie_matching_att_matched(): ATT from a matched sample
morie_matching_balance(): Balance diagnostics for matched / weighted samples
morie_matching_balance_table(): Publication-ready balance table
morie_matching_cardinality(): Cardinality matching
morie_matching_cem(): Coarsened Exact Matching (CEM)
morie_matching_common_support(): Restrict a sample to the region of common support
morie_matching_doubly_robust(): Doubly-robust ATT combining matching and regression
morie_matching_entropy_balance(): Entropy balancing weights (Hainmueller, 2012)
morie_matching_estimate_propensity(): Estimate propensity scores
morie_matching_exact(): Exact matching on discrete covariates
morie_matching_full(): Full matching via subclassification
morie_matching_genetic(): Genetic matching (Diamond & Sekhon, 2013)
morie_matching_longitudinal(): Longitudinal matching for panel data
morie_matching_love_plot_data(): Love-plot data: pre- vs post-matching balance
morie_matching_mahalanobis(): Mahalanobis distance matching
morie_matching_multi_treatment(): Matching with multiple (> 2) treatment groups
morie_matching_nearest_neighbor(): Nearest-neighbour propensity-score matching
morie_matching_optimal_pair(): Optimal pair matching
morie_matching_overlap(): Propensity-score overlap diagnostics
morie_matching_quality(): Comprehensive matching-quality assessment
morie_matching_rosenbaum_bounds(): Rosenbaum bounds for hidden bias
morie_matching_subclassify(): Subclassification (stratification) on the propensity score
morie_matching_trim_propensity(): Trim propensity scores to a fixed range
morie_matching_variable_ratio(): Variable-ratio matching on propensity score
morie_meta_rma(): Random- / fixed-effects meta-analysis via metafor
morie_midas_regression(): MIDAS regression with Beta-polynomial weights
morie_mini_batch_gradient(): Mini-batch stochastic gradient descent for OLS (R parity)
morie_ml_apply_smote(): Apply SMOTE oversampling to balance a binary outcome
morie_ml_assess(): Assess model performance
morie_ml_bake(): Apply (or reverse) a prepped recipe to data
morie_ml_center(): Center a numeric vector to a target mean
morie_ml_eval_robustness(): Evaluate Random Forest robustness
morie_ml_impute(): Mean/median/constant imputation of a numeric vector
morie_ml_load(): Load a trained model from disk
morie_ml_model(): Specify a supervised model without fitting it
morie_ml_prep(): Estimate recipe parameters from training data
morie_ml_recipe(): Specify a preprocessing recipe
morie_ml_resample(): Train + assess across resampling folds and combine the results
morie_ml_save(): Save a trained model to disk
morie_ml_scale(): Scale a numeric vector by a target standard deviation
morie_ml_split(): Partition data into train / test / validation sets
morie_ml_train(): Train a specified model
morie_ml_train_time(): Estimate time to train a model
morie_ml_tune(): Tune hyperparameters by cross-validated grid search
morie_mrm_dags(): Canonical MRM causal DAGs
morie_mrm_estimate_causal_effect(): Estimate a causal effect through the full MRM pipeline
morie_mrm_load_si_dataset(): Load a special-investigations sample with provenance metadata
morie_mrm_reconcile(): Reconcile two sources under an explicit matching schema
morie_mrm_report(): Render a publication-ready table from an MRM effect object
morie_multi_trait_gblup(): Multi-trait GBLUP via vec-stacked mixed-model equations
morie_multiple_testing: Multiple testing correction and multiplicity-adjusted inference
morie_mvn_with_covariance(): Draw multivariate normal samples under a structured covariance
morie_mvnorm_pmv(): Multivariate normal rectangle probability via mvtnorm
morie_mvnorm_sample(): Sample from the multivariate normal via mvtnorm
morie_mvrnorm(): Native multivariate normal sampling (reproduces MASS::mvrnorm)
morie_nbeats_basis(): N-BEATS-style polynomial + Fourier basis-expansion forecasting
morie_np_kernel_reg(): Nonparametric kernel regression via np
morie_nyc_nypd_socrata_cap_note: Socrata default-API-cap note + pagination wiring
morie_nypd_all_analyses(): Run the full New York Police Department analysis suite
morie_odds_ratio_ci(): Odds ratio and 95% CI from a 2x2 contingency table
morie_omega_squared(): Omega-squared (less biased than eta-squared)
morie_one_sample_coverage(): One-sample coverage probability (Gibbons Ch 2.11.1)
morie_one_sample_t_test(): One-sample t-test
morie_oneway_test(): Native one-way permutation test (Fisher-Pitman)
morie_ordered_alternatives_test(): Jonckheere-Terpstra ordered-alternatives test (Gibbons Ch 10.6)
morie_ordered_categories(): Linear-by-linear association test for ordered categories (Gibbons Ch 14.6.1)
morie_otis_aipw_ate(): Doubly-robust (AIPW) ATE on OTIS data via cross-fitted nuisances.
morie_otis_aipw_superlearner(): SuperLearner-stacked AIPW on OTIS data (native)
morie_otis_all_analyses(): Run the full OTIS analysis capsule
morie_otis_all_analyze: Comprehensive per-dataset analyses for ALL 28 OTIS public-release files
morie_otis_analyze_a01(): OTIS a01 high-level causal analysis (MatchIt + IRM-DML).
morie_otis_analyze_a01_ruhela_alt_age() morie_otis_analyze_a01_mrm_alt_age(): a01 alt-T Ruhela: Age 50+ -> vm count.
morie_otis_analyze_a01_ruhela_alt_gender() morie_otis_analyze_a01_mrm_alt_gender(): a01 alt-T Ruhela: Female -> vm count.
morie_otis_analyze_a01_ruhela_alt_toronto() morie_otis_analyze_a01_mrm_alt_toronto(): a01 alt-T Ruhela: Toronto region -> vm count.
morie_otis_analyze_a01_ruhela_formulations() morie_otis_analyze_a01_dlrm() morie_otis_analyze_a01_mrm(): OTIS a01 Ruhela formulations (full DLRM).
morie_otis_analyze_a01_ruhela_per_year() morie_otis_analyze_a01_mrm_per_year(): Per-year full-DLRM on a01 canonical formulation.
morie_otis_analyze_a01_ruhela_subgroup_female() morie_otis_analyze_a01_mrm_subgroup_female(): a01 subgroup Ruhela: Female-only cell frame.
morie_otis_analyze_a01_ruhela_subgroup_male() morie_otis_analyze_a01_mrm_subgroup_male(): a01 subgroup Ruhela: Male-only cell frame.
morie_otis_analyze_a01_with_csi_context(): OTIS a01 causal pipeline + Toronto Crime Severity Index context.
morie_otis_analyze_all(): Run every OTIS analyzer against a named list of datasets
morie_otis_analyze_b01(): Person-level segregation-placement analysis (b01)
morie_otis_analyze_b01_ruhela_alt_age() morie_otis_analyze_b01_mrm_alt_age(): b01 alt-T Ruhela: Age 50+ -> vm count.
morie_otis_analyze_b01_ruhela_alt_gender() morie_otis_analyze_b01_mrm_alt_gender(): b01 alt-T Ruhela: Female -> vm count.
morie_otis_analyze_b01_ruhela_alt_toronto() morie_otis_analyze_b01_mrm_alt_toronto(): b01 alt-T Ruhela: Toronto region -> vm count.
morie_otis_analyze_b01_ruhela_formulations() morie_otis_analyze_b01_dlrm() morie_otis_analyze_b01_mrm(): OTIS b01 Ruhela formulations (full DLRM).
morie_otis_analyze_b01_ruhela_per_year() morie_otis_analyze_b01_mrm_per_year(): Per-year full-DLRM on b01 canonical formulation.
morie_otis_analyze_b01_ruhela_subgroup_female() morie_otis_analyze_b01_mrm_subgroup_female(): b01 subgroup Ruhela: Female-only cell frame.
morie_otis_analyze_b01_ruhela_subgroup_male() morie_otis_analyze_b01_mrm_subgroup_male(): b01 subgroup Ruhela: Male-only cell frame.
morie_otis_analyze_b02(): Aggregate segregation days per person per year (b02)
morie_otis_analyze_b02_ruhela_alt_age() morie_otis_analyze_b02_mrm_alt_age(): b02 alt-T Ruhela: Age 50+ -> total seg days.
morie_otis_analyze_b02_ruhela_alt_region() morie_otis_analyze_b02_mrm_alt_region(): b02 alt-T Ruhela: Toronto region -> total seg days.
morie_otis_analyze_b02_ruhela_formulations() morie_otis_analyze_b02_dlrm() morie_otis_analyze_b02_mrm(): OTIS b02 Ruhela formulations: T=Female -> seg-day count.
morie_otis_analyze_b03(): Segregation placements by alert x institution (b03)
morie_otis_analyze_b03_ruhela_aggregate() morie_otis_analyze_b03_mrm_aggregate(): b03 aggregate Ruhela: Alert presence -> seg placements.
morie_otis_analyze_b04(): Placement durations by region & gender (b04)
morie_otis_analyze_b04_ruhela_aggregate() morie_otis_analyze_b04_mrm_aggregate(): b04 aggregate Ruhela: Female -> median seg duration.
morie_otis_analyze_b05(): Distribution of placements by binned duration (b05)
morie_otis_analyze_b05_mandela_classification(): Mandela-RF on b05 – per-placement Mandela classification by year.
morie_otis_analyze_b05_ruhela_aggregate(): b05 aggregate Ruhela: schema-no-demographic guard.
morie_otis_analyze_b06(): Reasons for placement x institution x gender (b06)
morie_otis_analyze_b06_ruhela_aggregate() morie_otis_analyze_b06_mrm_aggregate(): b06 aggregate Ruhela: Disciplinary reason -> seg placements.
morie_otis_analyze_b07(): Alerts x gender (b07)
morie_otis_analyze_b07_ruhela_aggregate() morie_otis_analyze_b07_mrm_aggregate(): b07 aggregate Ruhela (pivot to long): With-alert -> seg placements.
morie_otis_analyze_b08(): Durations by institution & gender (b08)
morie_otis_analyze_b08_ruhela_aggregate() morie_otis_analyze_b08_mrm_aggregate(): b08 aggregate Ruhela: Female -> median seg duration (institution-clustered).
morie_otis_analyze_b09(): Individuals by number of placements x gender (b09)
morie_otis_analyze_b09_ruhela_aggregate() morie_otis_analyze_b09_mrm_aggregate(): b09 aggregate Ruhela: Female -> individuals in segregation.
morie_otis_analyze_c01(): Total individuals x custody/RC/seg x gender (c01)
morie_otis_analyze_c01_ruhela_aggregate() morie_otis_analyze_c01_mrm_aggregate(): c01 aggregate Ruhela: Female -> RC count.
morie_otis_analyze_c01_ruhela_aggregate_region_cluster() morie_otis_analyze_c01_mrm_aggregate_region_cluster(): c01 region-cluster variant (year-clustered GEE).
morie_otis_analyze_c02(): Individuals in RC/seg by institution (c02)
morie_otis_analyze_c02_ruhela_aggregate() morie_otis_analyze_c02_mrm_aggregate(): c02 aggregate Ruhela: Female -> RC (institution GEE).
morie_otis_analyze_c03(): Individuals x race x gender (c03)
morie_otis_analyze_c03_ruhela_aggregate() morie_otis_analyze_c03_mrm_aggregate(): c03 aggregate Ruhela: Indigenous -> RC.
morie_otis_analyze_c04(): Individuals in RC/seg by race x region (c04)
morie_otis_analyze_c04_ruhela_aggregate() morie_otis_analyze_c04_mrm_aggregate(): c04 aggregate Ruhela: Indigenous -> RC (by region).
morie_otis_analyze_c04_ruhela_aggregate_region_cluster() morie_otis_analyze_c04_mrm_aggregate_region_cluster(): c04 region-cluster variant.
morie_otis_analyze_c05(): Individuals in RC/seg by religion x region (c05)
morie_otis_analyze_c05_ruhela_aggregate() morie_otis_analyze_c05_mrm_aggregate(): c05 aggregate Ruhela: non-majority religion -> RC.
morie_otis_analyze_c06(): Individuals in RC/seg by age category x region (c06)
morie_otis_analyze_c06_ruhela_aggregate() morie_otis_analyze_c06_mrm_aggregate(): c06 aggregate Ruhela: Age 50+ -> RC.
morie_otis_analyze_c07(): Individuals x alerts x gender (c07)
morie_otis_analyze_c07_ruhela_aggregate() morie_otis_analyze_c07_mrm_aggregate(): c07 aggregate Ruhela: Alert presence x Gender -> RC.
morie_otis_analyze_c08(): Individuals by religion x gender (c08)
morie_otis_analyze_c08_ruhela_aggregate() morie_otis_analyze_c08_mrm_aggregate(): c08 aggregate Ruhela: non-majority religion x gender -> RC.
morie_otis_analyze_c09(): Individuals by age category x gender (c09)
morie_otis_analyze_c09_ruhela_aggregate() morie_otis_analyze_c09_mrm_aggregate(): c09 aggregate Ruhela: Age 50+ x gender -> RC.
morie_otis_analyze_c10(): RC/seg aggregate durations by institution (c10)
morie_otis_analyze_c10_ruhela_aggregate() morie_otis_analyze_c10_mrm_aggregate(): c10 aggregate Ruhela: Female -> median RC days (institution GEE).
morie_otis_analyze_c11(): Individuals by aggregate-duration bin (c11)
morie_otis_analyze_c11_mandela_classification(): Mandela-RF on c11 – per-individual Mandela classification by year.
morie_otis_analyze_c11_ruhela_aggregate() morie_otis_analyze_c11_mrm_aggregate(): c11 aggregate Ruhela: long-duration bin (>=16 days) -> RC.
morie_otis_analyze_c12(): RC/seg aggregate durations by region & gender (c12)
morie_otis_analyze_c12_ruhela_aggregate() morie_otis_analyze_c12_mrm_aggregate(): c12 aggregate Ruhela: Female -> median RC days (by region).
morie_otis_analyze_c_chi2(): MRM chi-square family on c-series.
morie_otis_analyze_d01(): Person-level custodial deaths (d01)
morie_otis_analyze_d02(): Custodial deaths by gender (d02)
morie_otis_analyze_d02_ruhela_aggregate() morie_otis_analyze_d02_mrm_aggregate(): d02 aggregate Ruhela: Female -> custodial deaths.
morie_otis_analyze_d03(): Custodial deaths by race (d03)
morie_otis_analyze_d03_ruhela_aggregate() morie_otis_analyze_d03_mrm_aggregate(): d03 aggregate Ruhela: Indigenous -> custodial deaths.
morie_otis_analyze_d04(): Custodial deaths by religion (d04)
morie_otis_analyze_d04_ruhela_aggregate() morie_otis_analyze_d04_mrm_aggregate(): d04 aggregate Ruhela: non-majority religion -> custodial deaths.
morie_otis_analyze_d05(): Custodial deaths by age category (d05)
morie_otis_analyze_d05_ruhela_aggregate() morie_otis_analyze_d05_mrm_aggregate(): d05 aggregate Ruhela: Age 50+ -> custodial deaths.
morie_otis_analyze_d06(): Custodial deaths by alert x medical cause (d06)
morie_otis_analyze_d07(): Custodial deaths by alert x housing unit (d07)
morie_otis_analyze_d_chi2(): MRM chi-square family on d-series.
morie_otis_analyze_otis_mandela_provincial_vs_federal(): Mandela-RF cross-comparison: Ontario provincial vs federal SIU.
morie_otis_analyze_ruhela_grid(): Aggregate Ruhela grid: one-page IRR comparison across analyzers.
morie_otis_analyze_ruhela_master(): Paper-ready master report – every Ruhela formulation in one result.
morie_otis_analyze_ruhela_per_year(): Per-fiscal-year full-DLRM Ruhela formulation driver.
morie_otis_analyzers(): Registry of dataset-id -> analyzer
morie_otis_astcmb(): Alert-state combination encoding (8 combos -> complexity index)
morie_otis_causal_grid(): Run IPW / AIPW / IRM-DML on the three canonical (T, Y) pairs.
morie_otis_churn: Goffmanian institutional-churn analyses on OTIS
morie_otis_churn_analyze_all(): Run all 11 OTIS-churn analyses
morie_otis_classify_mandela_combo(): Mandela alert-state classifier for an OTIS placement row.
morie_otis_disciplinary_medical_overlap(): Disciplinary x medical-protection overlap
morie_otis_embedding_distribution(): Total-days embedding distribution (lognormal vs Pareto vs exp)
morie_otis_figures(): Export the OTIS restrictive-confinement figures
morie_otis_intra_year_transition_matrix(): Intra-year region-to-region transition matrix
morie_otis_ipw_ate(): Hajek-stabilised IPW estimator of the ATE on OTIS data.
morie_otis_irm_dml(): Interactive Regression Model DML on OTIS data (ATE, ATTE, ATC).
morie_otis_irr_glmm_vm(): Poisson + Negative-Binomial IRR for volatility ~ alert complexity
morie_otis_load(): Load the canonical OTIS CSV
morie_otis_make_pair_a(): Pair (a): MentalHealth_Alert -> SuicideRisk_Alert (binary -> binary).
morie_otis_make_pair_alert_to_volatility_a01(): a01-aware wrapper for the Ruhela alert -> volatility builder.
morie_otis_make_pair_alert_to_volatility_all(): Run both Ruhela and Naive alert -> volatility builders.
morie_otis_make_pair_alert_to_volatility_naive(): Naive (max-simultaneous-flags + binary vm) alert -> volatility builder.
morie_otis_make_pair_alert_to_volatility_ruhela(): Ruhela's primary alert-complexity -> regional-volatility builder.
morie_otis_make_pair_b(): Pair (b): HighAlertComplexity -> AnyReadmission.
morie_otis_make_pair_c(): Pair (c): RegionalVolatility -> SegregationDays.
morie_otis_mortification_cooccurrence(): Mortification co-occurrence (concurrent alerts)
morie_otis_otdesc(): Full OTIS descriptive statistics suite
morie_otis_otdml(): Cross-fitted partially linear DML (ATE/ATT) on OTIS
morie_otis_path_complexity_gini(): Path complexity Gini by (year, region)
morie_otis_pipeline: OTIS analysis pipeline (RichResult-style driver)
morie_otis_plr(): Partially Linear Regression DML on OTIS data (native)
morie_otis_regional_placement() morie_otis_alert_state_combo() morie_otis_volatility() morie_otis_rc_trends() morie_otis_descriptives() morie_otis_dml(): Ontario Restrictive Confinement (OTIS) primitive analyses
morie_otis_psm(): Propensity-score 1:k NN matching with caliper on OTIS data (native)
morie_otis_psm_subclass(): Propensity-score subclassification ATE on OTIS data (native)
morie_otis_rctrnd(): Restrictive-confinement trends over time by region
morie_otis_regC_demog_contingency(): Multi-region path x Gender / Age contingency
morie_otis_region_alert_state_richness(): Region x alert state richness
morie_otis_repeat_placement_concentration(): Repeat-placement concentration (Goffmanian cyclical-inmate)
morie_otis_rplace(): Regional placement matrix by age group
morie_otis_tps_analyze_all(): Run all OTIS-TPS overlay analyses
morie_otis_tps_composite_overlay(): Composite overlay (alias for the YoY correlation)
morie_otis_tps_overlay: Cross-link OTIS (Ontario corrections) with TPS (Toronto police) data
morie_otis_tps_per_region_rollup(): OTIS seg/RC totals per region x year (Toronto row flagged for TPS-overlay use)
morie_otis_tps_yoy_correlation(): Year-over-year correlation between OTIS Toronto-region segregation placements and TPS incident counts (per category)
morie_otis_volat(): Regional volatility / placement movement
morie_otis_within_year_placement_count(): Within-year placement-count distribution
morie_otis_within_year_region_diversity(): Within-year region diversity
morie_paired_t_test(): Paired t-test
morie_parse_nypd_law_code(): Parse an NYPD law_code string into its structural fields
morie_partial_cor(): Partial correlation matrix (native)
morie_partial_cor_test(): Partial correlation test for one pair given controls (native)
morie_paths(): Resolve standard project paths
morie_pca_dimension_reduction(): PCA via SVD for dimension reduction (R parity)
morie_pcg_filter(): Phonocardiogram (PCG) bandpass filter
morie_penalized_regression(): Elastic-net regression via coordinate descent (base R)
morie_percentile_modified_rank(): Percentile-modified rank (Gastwirth) two-sample test (Gibbons Ch 8.3.3)
morie_performance_check_collinearity(): Collinearity / VIF check via performance
morie_performance_check_model(): Regression-diagnostic plots via performance
morie_performance_check_outliers(): Outlier check via performance
morie_performance_r2(): R-squared family via performance
morie_point_biserial_r(): Point-biserial correlation
morie_polr(): Native ordered logistic/probit regression (reproduces MASS::polr)
morie_polynomial_regression(): Polynomial regression (R parity)
morie_power_prop_test(): Power for a two-proportion z-test
morie_power_t_test(): Power for a two-sample t-test
morie_ppcor_partial(): Partial correlation via ppcor
morie_ppcor_semipartial(): Semi-partial correlation via ppcor
morie_pps_sample(): Probability proportional to size (PPS) sampling
morie_prediction_accuracy(): Genomic-prediction accuracy metrics
morie_predpol_aggregate_areas(): Aggregate per-record predictive-policing data to one row per area
morie_predpol_calibration_audit(): Audit whether an algorithm's area risk ranking matches realised outcomes
morie_predpol_score_disparity(): Descriptive disparity in a risk score across groups
morie_predpol_temporal_audit(): Audit how disparity metrics move over time and across cities
morie_profile_dataset(): Profile a data.frame: per-column types, missingness, summary statistics
morie_prophet_components(): Prophet-style additive decomposition (linear trend + Fourier seasonality)
morie_proportion_ci(): Wilson score confidence interval for a proportion
morie_psymet_alpha(): Cronbach's coefficient alpha with Feldt CI
morie_psymet_alphadel(): Alpha if item deleted
morie_psymet_ave(): Average variance extracted (AVE) from factor loadings. Mean(lambda^2).
morie_psymet_bartlett(): Bartlett's test of sphericity.
morie_psymet_cr(): Composite reliability from standardized factor loadings. CR = (sum lambda)^2 / ((sum lambda)^2 + sum(1 - lambda^2))
morie_psymet_discrimination(): Item discrimination (D-statistic).
morie_psymet_itemtotal(): Corrected item-total correlations
morie_psymet_kmo(): Kaiser-Meyer-Olkin sampling adequacy.
morie_psymet_omega(): McDonald's omega total and hierarchical
morie_psymet_parallel(): Horn's parallel analysis – suggested number of factors.
morie_psymet_splithalf(): Spearman-Brown split-half reliability.
morie_quantile_reg(): Quantile regression via quantreg
morie_random_forest_ensemble(): Random Forest ensemble (R parity)
morie_random_forest_genomic(): Random-forest genomic predictor
morie_random_search_cv(): Random search hyperparameter optimisation (R parity)
morie_randtests_bartels(): Bartels rank test via randtests
morie_randtests_runs(): Wald-Wolfowitz runs test via randtests
morie_randtests_turning_point(): Turning-point test via randtests
morie_rank_based_test(): Mann's rank test for randomness (Gibbons Ch 3.5)
morie_rank_order_statistics(): Signed ranks of paired differences (Gibbons Ch 5.5)
morie_rank_placements(): Rank placements of Y among X order statistics (Gibbons Ch 2.11.3)
morie_rdd(): Sharp / fuzzy regression discontinuity with bundled diagnostics
morie_rdd_bandwidth_cct(): Calonico-Cattaneo-Titiunik (CCT) MSE-optimal bandwidth
morie_rdd_bandwidth_ik(): Imbens-Kalyanaraman (IK) MSE-optimal bandwidth
morie_rdd_bandwidth_rot(): Rule-of-thumb (ROT) bandwidth – Silverman-style on running variable
morie_rdd_bandwidth_sensitivity(): Bandwidth sensitivity sweep
morie_rdd_bias_corrected(): CCT bias-corrected, robust-SE RDD inference
morie_rdd_cattaneo_density(): Cattaneo-Jansson-Ma (2020) local-polynomial density test
morie_rdd_covariate_balance(): Covariate balance at the cutoff
morie_rdd_density_test(): McCrary-style RD density test via rddensity
morie_rdd_discrete(): RDD with discrete running variable
morie_rdd_donut(): Donut-hole RDD
morie_rdd_fuzzy(): Fuzzy RDD treatment effect via instrumented Wald ratio
morie_rdd_geographic(): Geographic / boundary RDD on a signed distance
morie_rdd_kernel_triangular() morie_rdd_kernel_epanechnikov() morie_rdd_kernel_uniform() morie_rdd_kernel_gaussian(): RDD kernel functions
morie_rdd_kink(): Regression kink design – slope discontinuity at the cutoff
morie_rdd_local_polynomial(): Local polynomial regression at user-supplied evaluation points
morie_rdd_local_randinf(): Local-randomisation RDD inference via rdlocrand
morie_rdd_local_randomisation(): Local-randomisation RDD via permutation in a fixed window
morie_rdd_mccrary(): McCrary (2008) density manipulation test
morie_rdd_placebo_cutoff(): Placebo cutoff falsification test
morie_rdd_plot_data(): Binned scatter + global-polynomial data for an RD plot
morie_rdd_power(): RDD power calculation
morie_rdd_power_calc(): Power calculations for RDD designs via rdpower
morie_rdd_sample_size(): RDD sample-size determination
morie_rdd_sharp(): Sharp RDD treatment effect at the cutoff
morie_read_outputs_manifest(): Read outputs manifest from a project
morie_recommended_pair_test(): Recommended bivariate test for a pair of variables.
morie_recommended_summary(): Recommended summary statistic for a single variable.
morie_regime_switching(): Markov-switching regression (Hamilton 1989)
morie_regularization_path(): Ridge / LASSO / ElasticNet regularization path (R parity)
morie_risk_difference_ci(): Risk difference (ARD) with Newcombe CI
morie_risk_ratio_ci(): Risk ratio (relative risk) with log-normal CI
morie_rkhs_full(): RKHS regression with Gaussian kernel
morie_rlm(): Native robust (Huber M-estimator) regression (reproduces MASS::rlm)
morie_rnn_genomic(): Vanilla RNN genomic predictor (BPTT, base R)
morie_roc_auc_score(): ROC curve and AUC (R parity)
morie_rsample_bootstraps(): Direct bridge to rsample::bootstraps
morie_run_ebac_selection_ipw_analysis(): Run the eBAC selection-adjusted IPW workflow
morie_run_morie_module(): Run one implemented MORIE module against CPADS data
morie_run_morie_modules(): Run multiple implemented MORIE modules
morie_run_pipeline(): Run multiple workflow steps
morie_run_propensity_ipw_analysis(): Run the CPADS propensity/IPW workflow
morie_run_treatment_effects_analysis(): Run a treatment-effects analysis (point estimate, SE, 95% CI)
morie_run_weighted_logistic_analysis(): Run a weighted logistic-regression analysis
morie_run_workflow_step(): Run one project workflow step
morie_runs_test(): Wald-Wolfowitz runs test (native)
morie_safe_factor(): Build a factor with explicit, verified levels
morie_safe_recode(): Recode a categorical column by explicit name-to-name mapping
morie_sample(): Load a included MORIE reference sample by name
morie_sample_size_logistic(): Sample size for logistic regression detecting a target odds ratio
morie_semipar_bridge: Semiparametric kernel primitives (R port)
morie_semipartial_cor(): Semi-partial (part) correlation matrix (native)
morie_sensitivity_evalue(): E-values for the EValue dispatch family (extender)
morie_sensitivity_konfound(): Konfound robustness for a coefficient (konfound extender)
morie_sensitivity_omitted_var_bias(): Omitted-variable bias on a fitted model (sensemakr extender)
morie_sensitivity_rosenbaum(): Rosenbaum bounds sensitivity analysis
morie_sensitivity_tipping_point(): Tipping-point sensitivity to a single unmeasured confounder (tipr)
morie_sgolay_smooth(): Savitzky-Golay smoothing filter
morie_shapiro_wilk_test(): Shapiro-Wilk normality test
morie_sign_test_power(): Power function of the two-sided sign test (Gibbons Ch 5.4.4)
morie_simple_random_sample(): Simple random sample from a data frame
morie_simpleboot_two(): Direct bridge to simpleboot::two.boot
morie_simulate_longitudinal_panel(): Simulate a longitudinal panel and return a tidy long-format data.frame
morie_siu_all_analyses(): Run every SIU descriptive analysis in this module
morie_siu_analyze: SIU descriptive analyses (R port of morie.siu.analyze)
morie_siu_anomaly_check(): Per-field anomaly check: does the parser's extraction match the HTML?
morie_siu_audit_case(): Audit one SIU case end-to-end: parser output + raw HTML
morie_siu_audit_columns(): Per-column accuracy audit: estimate every SIU column's correctness
morie_siu_by_police_service(): SIU cases by police service
morie_siu_by_year(): SIU cases by year
morie_siu_cache_path(): Cache-path helper for the lightweight SIU scraper
morie_siu_case_counts(): SIU per-case team-size distribution
morie_siu_charges_by_year_chi2(): Chi-square: charges-recommended independent of year?
morie_siu_classify_mandela(): Apply the Sprott-Doob Mandela-Rules classifier to one SIU stay
morie_siu_compare(): Field-by-field SIU comparison against a user-supplied external table
morie_siu_decision_timing(): SIU decision-timing distributions
morie_siu_demographics(): Affected-person demographics
morie_siu_index_url(): Lightweight Ontario SIU Director's Reports scraper (R-native)
morie_siu_fetch_cases(): Scrape Ontario SIU Director's Reports into a tidy CSV
morie_siu_fetch_dataframe(): Scrape Ontario SIU Director's Reports and return a data frame
morie_siu_index(): SIU drid → case_number → language index
morie_siu_llm_extract(): Extract SIU report fields with an LLM (Gemini or Claude)
morie_siu_mental_health_race_indicators(): Mental-health / race keyword indicators
morie_siu_panel(): Run the Mixture-of-Agents reading panel on SIU reports
morie_siu_parse_html(): Parse a SIU director's-report HTML page (pure-R)
morie_siu_parse_news_html(): Parse a SIU news-release HTML page (pure-R)
morie_siu_parse_report(): Parse one SIU director's report into the full 16-field schema
morie_siu_parser: Pure-R SIU director's-report parser (port of morie.siu._parser)
morie_siu_record_correction(): Record a verified correction to the SIU parser's output
morie_siu_refresh_manifest(): Rebuild the Ontario SIU DRID manifest by probing the live site
morie_siu_reports(): SIU director's-reports corpus: reviewed data first, fetch only what's new
morie_siu_resolve_so(): Resolve a subject-official count: verified corpus first, rules second
morie_siu_sanity_check(): Row-level sanity check on a parsed SIU table (regex-only, no LLM)
morie_siu_sprott_doob_feb2021(): Comprehensive replication of Sprott & Doob (Feb 2021)
morie_siu_sprott_doob_iftene_table1(): Sprott-Doob-Iftene (May 2021) Table 1: IEDM-reviewed population
morie_siu_sprott_doob_iftene_table10(): Sprott-Doob-Iftene (May 2021) Table 10: per-IEDM decision variance
morie_siu_sprott_doob_iftene_table15(): Sprott-Doob-Iftene (May 2021) Table 15: long-stay no-IEDM cases
morie_siu_sprott_doob_iftene_table9(): Sprott-Doob-Iftene (May 2021) Table 9: IEDM review outcomes
morie_siu_sprott_doob_table11(): Sprott-Doob (Feb 2021) Table 11: Region x stay length
morie_siu_sprott_doob_table12(): Sprott-Doob (Feb 2021) Table 12: regional over-/under-representation
morie_siu_sprott_doob_table13(): Sprott-Doob (Feb 2021) Table 13: regional SIU person-stay rates
morie_siu_sprott_doob_table15(): Sprott-Doob (Feb 2021) Table 15: Region x MH-flag
morie_siu_sprott_doob_table19(): Sprott-Doob (Feb 2021) Table 19: Mandela-Rules classification
morie_siu_sprott_doob_table22(): Sprott-Doob (Feb 2021) Table 22: Region x Mandela groups
morie_siu_sprott_doob_table23(): Sprott-Doob (Feb 2021) Table 23: regional torture/solitary rates
morie_siu_sprott_doob_table4(): Sprott-Doob (Feb 2021) Table 4: length-of-stay distribution
morie_siu_translate() morie_siu_translate_fr_to_en(): Translate SIU report text into any target language via local LLM
morie_siu_verify_chi2(): Recompute Pearson chi-square from a 2D contingency table
morie_siu_verify_published_chi_squares(): Verify every published chi-square against its transcribed cells
morie_siuiap_cite(): Build a citation string for an SIU IAP / CRIMSL / affidavit entry.
morie_siuiap_panel_summary(): Human-readable summary of the SIU IAP panel.
morie_spatial(): Construct a spatial data object
morie_spatial_cluster(): Spatial clustering of the coordinates
morie_spatial_coords(): Coordinate matrix of a spatial object
morie_spatial_crs(): CRS of a spatial object (EPSG + WKT2-style label)
morie_spatial_distance(): Distance matrix for a spatial object
morie_spatial_krige(): Ordinary kriging predictions at new locations
morie_spatial_leaflet_spec(): Specification for an interactive (leaflet) map
morie_spatial_moran(): Global Moran's I on a spatial object
morie_spatial_neighbors(): Construct spatial neighbours
morie_spatial_sample(): Sample points from a spatial object, optionally by local density
morie_spatial_transform(): Reproject a spatial object between CRS (4326 <-> 3857)
morie_spatial_variogram(): Empirical semivariogram
morie_spatial_variogram_fit(): Fit a variogram model by Gaussian maximum likelihood
morie_spatial_voting_aldrich_mckelvey(): Aldrich-McKelvey scaling
morie_spatial_voting_alpha_nominate(): Alpha-NOMINATE (stub)
morie_spatial_voting_anchoring_vignettes(): Anchoring vignettes for DIF correction
morie_spatial_voting_bayesian_am(): Bayesian Aldrich-McKelvey scaling (stub)
morie_spatial_voting_bayesian_irt_likelihood(): Bayesian IRT likelihood (deterministic part of CJR machinery)
morie_spatial_voting_bayesian_irt_posterior(): Posterior summaries for a Bayesian IRT chain
morie_spatial_voting_bayesian_mds(): Bayesian MDS (stub) – log-normal distances via Metropolis
morie_spatial_voting_bayesian_unfolding(): Bayesian unfolding (stub) – Bakker & Poole sampler
morie_spatial_voting_blackbox(): Blackbox / Basic Space scaling
morie_spatial_voting_cjr_irt(): Clinton-Jackman-Rivers Bayesian IRT (stub)
morie_spatial_voting_classical_mds(): Classical (metric) multidimensional scaling
morie_spatial_voting_cutting_lines(): Cutting-line endpoints for Coombs-mesh plots
morie_spatial_voting_double_centering(): Double-center a distance matrix
morie_spatial_voting_dw_nominate(): DW-NOMINATE dynamic weighted ideal-point estimator
morie_spatial_voting_dynamic_irt(): Dynamic IRT with random-walk priors (stub)
morie_spatial_voting_em_irt(): EM algorithm for binary IRT
morie_spatial_voting_ideal_point_recovery(): Ideal-point recovery from unfolding output
morie_spatial_voting_indscal(): INDSCAL: weighted MDS with individual differences
morie_spatial_voting_mds_fit_stats(): MDS fit statistics (Mardia criterion)
morie_spatial_voting_mlsmu6(): MLSMU6 alternating least-squares unfolding
morie_spatial_voting_nominate_bootstrap(): Parametric bootstrap of NOMINATE standard errors
morie_spatial_voting_nominate_loglik(): NOMINATE log-likelihood and GMP
morie_spatial_voting_nominate_utility(): NOMINATE Gaussian utility
morie_spatial_voting_nominate_vote_prob(): Single NOMINATE vote probability
morie_spatial_voting_nonmetric_mds(): Nonmetric MDS with isotonic regression
morie_spatial_voting_nonparametric_bootstrap(): Nonparametric bootstrap for AM / blackbox scaling positions
morie_spatial_voting_normal_vectors(): Normal-vector projection of an external measure
morie_spatial_voting_optimal_classification(): Optimal Classification scaling
morie_spatial_voting_ordered_oc(): Ordered Optimal Classification for ordinal scales
morie_spatial_voting_ordinal_irt(): Ordinal IRT / Quinn factor model (stub)
morie_spatial_voting_procrustes(): Procrustes rotation
morie_spatial_voting_smacof(): SMACOF stress minimisation
morie_spatial_voting_smacof_unfolding(): SMACOF rectangular unfolding
morie_spatial_voting_unfolding_stress(): Compute unfolding stress
morie_spatial_voting_wordfish(): Wordfish: Poisson IRT for document-term matrices
morie_spatial_weights(): Spatial weights from a neighbour matrix
morie_spearman_rho(): Spearman rank correlation
morie_specs_from_df(): Build a list of column specs from a parsed CSV header.
morie_spectral_cluster(): Spectral clustering via kernlab
morie_spectral_density(): Welch power spectral density
morie_sprott_doob: Sprott & Doob (CRIMSL UToronto) SIU analyses
morie_stat_bridge: Bridge between external runners and the morie R command registry
morie_stat_commands: Central command registry for the morie R surface
morie_state_space_model(): Local-level state-space model (Kalman filter+smoother)
morie_stratified_sample(): Proportional or fixed stratified random sample
morie_suggest_analysis_plan(): Suggest an analysis plan from a dataset profile
morie_sukhatme_test(): Sukhatme two-sample scale test (Gibbons Ch 9.7)
morie_summarize_output_audit(): Summarize an output audit
morie_survey_calibrate(): Raking calibration to known marginal totals (iterative proportional fitting).
morie_survey_complex_glm(): Complex-survey GLM constructor (single-shot wrapper that builds a design and fits a svyglm in one call). Cluster-robust SEs via the design.
morie_survey_design(): Construct a survey design object.
morie_survey_glm(): Survey-weighted GLM with design-based SEs.
morie_survey_hajek_mean(): Hajek (ratio) estimator of a population mean.
morie_survey_ht_total(): Horvitz-Thompson estimator of a population total.
morie_survey_mean(): Survey-weighted mean (delegates to survey::svymean when available).
morie_survey_poststratify(): Post-stratification weights (sample-to-population alignment).
morie_survey_ratio(): Ratio estimator of a population total using known X_pop.
morie_survey_subpop(): Subpopulation (domain) mean with Woodruff linearised SE.
morie_survival_aft(): Accelerated failure time model (parametric).
morie_survival_cif(): Cumulative incidence function (Aalen-Johansen) for competing risks.
morie_survival_compare_parametric(): Compare parametric survival models by AIC/BIC.
morie_survival_concordance(): Harrell's concordance index (C-statistic).
morie_survival_cox(): Cox proportional hazards model.
morie_survival_coxsnell(): Cox-Snell residuals from a fitted morie Cox model.
morie_survival_deviance(): Deviance residuals.
morie_survival_finegray(): Fine-Gray subdistribution hazard model (competing risks).
morie_survival_hr(): Hazard ratio between two groups via a simple Cox model.
morie_survival_km(): Kaplan-Meier product-limit survival estimator.
morie_survival_landmark(): Landmark dataset constructor.
morie_survival_left_truncated_km(): Left-truncated Kaplan-Meier with delayed entry.
morie_survival_logrank(): Log-rank family tests (logrank / Peto-Peto / Gehan / Tarone-Ware).
morie_survival_martingale(): Martingale residuals.
morie_survival_nelsonaalen(): Nelson-Aalen cumulative-hazard estimator.
morie_survival_parametric(): Simple parametric survival models (intercept-only).
morie_survival_rmst(): Restricted Mean Survival Time (RMST).
morie_survival_rmst_diff(): Difference in RMST between two groups.
morie_survival_schoenfeld(): Schoenfeld residuals + PH-assumption test.
morie_survival_turnbull(): Turnbull NPMLE for interval-censored data.
morie_svm_genomic(): Support-vector regression for genomic prediction
morie_svm_hinge_primal(): Linear SVM (primal hinge loss) – R parity
morie_svm_kernel_trick(): Kernel SVM (RBF / poly / sigmoid) – R parity
morie_sync_rng(): Synchronised RNG seeded reproducibly for cross-language workflows
morie_synth_control(): Native synthetic control (Abadie-Diamond-Hainmueller)
morie_synth_corrections_uof(): Build a synthetic Corrections-UoF data.frame for testing.
morie_synth_otis(): Build a synthetic OTIS data.frame for a given publication id.
morie_synth_otis_all(): Build the full 29-dataset OTIS synthetic list.
morie_taphonomy_bhm(): Bayesian hierarchical preservation model
morie_taphonomy_clr(): Centred log-ratio (CLR) transform of compositional data
morie_taphonomy_decay_absorption(): Absorption analysis of a taphonomic decay chain
morie_taphonomy_decay_chain(): Build a taphonomic decay Markov chain (DTMC)
morie_taphonomy_decay_delta(): Natural-vs-treated fate delta for a taphonomic decay chain
morie_taphonomy_decay_simulate(): Simulate one decay path through a taphonomic Markov chain
morie_taphonomy_evidence_loglik(): Gaussian log-likelihood of forensic evidence under a model
morie_taphonomy_fetch_usgs_soil(): Fetch USGS National Geochemical Database soil geochemistry
morie_taphonomy_ilr(): Isometric log-ratio (ILR) transform of compositional data
morie_taphonomy_likelihood_ratio(): Forensic likelihood ratio for two competing hypotheses
morie_taphonomy_morphosource_fetch(): Download a MorphoSource media capsule
morie_taphonomy_morphosource_search(): Search MorphoSource for 3D media or physical objects
morie_taphonomy_pmi_schema(): STO-2022 taphonomic-observation schema (PMI nuisance variables)
morie_taphonomy_preservation_delta(): Estimate the natural preservation "delta" and its E-value
morie_taphonomy_preservation_lr(): Preservation likelihood ratio from measured evidence
morie_taphonomy_schema(): Taphonomy data schema (zero-row template)
morie_taphonomy_simulate_pxrf(): Simulate synthetic pXRF compositional data (Dirichlet)
morie_terry_hoeffding_test(): Terry-Hoeffding (Fisher-Yates) two-sample normal-scores test (Gibbons Ch 8.3.1)
morie_tgarch_model(): GJR-GARCH(1,1) threshold GARCH
morie_threshold_autoregression(): Two-regime self-exciting threshold autoregressive (SETAR) model
morie_to_hood_crosswalk(): Load the included BIDIRECTIONAL 158 <-> 140 neighbourhood crosswalk
morie_to_neighbourhoods(): Load a Toronto neighbourhood polygon layer
morie_tolerance_limits(): Distribution-free (Wilks) tolerance limits
morie_toronto_neighbourhoods: Toronto neighbourhood boundary versions
morie_tox_antemortem_lr(): Likelihood ratio for antemortem ingestion versus postmortem artefact
morie_tox_calibration(): Fit an internal-standard calibration curve and inverse-predict an unknown
morie_tox_ethanol_congeners(): Adjudicate ethanol as antemortem ingestion versus postmortem production
morie_tox_left_censor_impute(): Impute left-censored (below-LOD) toxicology values
morie_tox_matrix_reliability(): Rank specimen matrices by reliability under submersion and decomposition
morie_tox_matrix_schema(): Typed zero-row schema for a forensic-toxicology sample table
morie_tox_pmr_ratio(): Flag postmortem redistribution from a central:peripheral concentration ratio
morie_tps_add_hood_140_from_158(): Add an equivalent HOOD_140 column to a HOOD_158-keyed data.frame
morie_tps_add_hood_158_from_140(): Add an equivalent HOOD_158 column to a HOOD_140-keyed data.frame
morie_tps_aggregate_158_to_140(): Aggregate per-158 counts to per-140 counts (EXACT for pure cake-cuts)
morie_tps_analyze: RichResult-emitting analyses for the 13 TPS crime datasets
morie_tps_analyze_all(): Run the full TPS analysis capsule across many TPS data.frames
morie_tps_analyze_assault() morie_tps_analyze_autotheft() morie_tps_analyze_bicycletheft() morie_tps_analyze_breakandenter() morie_tps_analyze_communitysafetyindicators() morie_tps_analyze_hatecrimes() morie_tps_analyze_homicides() morie_tps_analyze_intimatepartnerandfamilyviolence() morie_tps_analyze_neighbourhoodcrimerates() morie_tps_analyze_robbery() morie_tps_analyze_shootingandfirearmdiscarges() morie_tps_analyze_theftfrommovingvehicle() morie_tps_analyze_theftover(): Convenience alias: full TPS capsule on the Assault dataset.
morie_tps_analyze_csi_from_dataframes(): Toronto CSI per-year + per-ward from a named list of TPS data.frames
morie_tps_analyze_one(): Run the standard TPS analysis capsule on one data.frame
morie_tps_arima_forecast(): ARIMA(1,1,1) monthly-count forecast
morie_tps_assert_hood_version(): Assert the HOOD_* schema version of a TPS data.frame
morie_tps_available_formats(): List of formats this build can actually load.
morie_tps_bivariate_moran(): Bivariate Moran's I between two attributes at the same polygons
morie_tps_bivariate_morans_i(): Bivariate Moran's I between two TPS categories
morie_tps_category_correlation_matrix(): Pearson correlation across TPS categories' per-hood counts
morie_tps_changepoint_detection(): Pettitt-style change-point on yearly incident counts
morie_tps_compare_hawkes_kernels(): Compare Hawkes models across kernel x baseline combinations
morie_tps_composite_index(): Composite per-neighbourhood crime-risk index across TPS categories
morie_tps_crime_compare(): Compare counts and trends across multiple TPS categories
morie_tps_criminal_network_graph(): Premise x neighbourhood co-occurrence network
morie_tps_csi_per_neighbourhood(): CSI per neighbourhood (HOOD_158)
morie_tps_csi_per_year(): Toronto CSI per fiscal year from per-category counts
morie_tps_csi_weight(): Return the CSI weight for a TPS open-data category.
morie_tps_data_dir(): Default project data directory for TPS open data.
morie_tps_dbscan_clusters(): DBSCAN density clusters on lat/long
morie_tps_disaggregate_140_to_158(): Disaggregate per-140 counts to per-158 counts (uniform-density)
morie_tps_district_for_centroid(): Return the pre-1998 borough name for a (lat, lon) centroid
morie_tps_fetch_category(): Fetch one TPS category as a CSV, paging until exhausted.
morie_tps_fetch_dataframe(): Fetch a TPS category and return it as a data.frame.
morie_tps_figures(): Export the TPS stochastic diagnostic figures
morie_tps_fokker_planck_grid(): 1-D Fokker-Planck density evolution under OU drift+diffusion
morie_tps_getis_ord_g_star(): Local Getis-Ord Gi* statistic per neighbourhood
morie_tps_gini_concentration(): Gini coefficient of a numeric vector
morie_tps_hawkes_advanced: Non-stationary Hawkes with non-exponential kernels (R port)
morie_tps_hawkes_advanced_fit(): Fit a single (kernel, baseline) Hawkes specification
morie_tps_hawkes_markovian_vs_nonmarkovian(): Focused 2x2 Markovian vs non-Markovian Hawkes comparison
morie_tps_hawkes_temporal_fit(): Temporal exponential-kernel Hawkes fit
morie_tps_inspection_game_phase(): Helbing-Szolnoki inspection-game phase diagram
morie_tps_kde_density(): 2-D kernel density estimate of geocoded incidents
morie_tps_langevin_simulate(): Euler-Maruyama Ornstein-Uhlenbeck simulation
morie_tps_layer_urls() MORIE_TPS_LAYER_URLS: TPS ArcGIS layer URLs known to MORIE
morie_tps_levy_flight_alpha(): Levy-flight tail exponent on consecutive-incident steps
morie_tps_list_categories(): List TPS categories known to the fetcher.
morie_tps_list_datasets(): List all TPS datasets as a data.frame.
morie_tps_list_formats(): Map TPS format name -> path of the file that would be loaded.
morie_tps_load(): Load TPS dataset name in the given format.
morie_tps_load_dataset(): Load one TPS dataset by category name (CSV thin path).
morie_tps_load_tps(): Load a TPS hub layer (incident category or aggregate layer)
morie_tps_load_tps_dataset(): Load a TPS incident dataset for the statistical-physics suite
morie_tps_local_morans_i(): LISA – local Moran's Ii per neighbourhood
morie_tps_lotka_volterra_police_crime(): Lotka-Volterra predator-prey on yearly crime counts
morie_tps_moran_sweep_heatmap(): Sweep polygon Moran's I across (category x year)
morie_tps_morans_i_neighbourhood(): Global Moran's I on neighbourhood-level incident counts
morie_tps_neighbourhood_concentration(): How concentrated is crime across Toronto's 158 neighbourhoods?
morie_tps_offence_summary(): Offence-distribution rollup for a TPS crime data.frame
morie_tps_polygon_morans_i(): Polygon-aware Moran's I on a value column
morie_tps_pretty_label(): Convert a SQL-style column name to a prose label
morie_tps_project_xy(): Project (lat, lon) to rotated planar kilometres
morie_tps_psdp_layers(): List the TPS PSDP layers wrapped by morie
morie_tps_render: Toronto Police Service map rendering (R-side)
morie_tps_render_choropleth(): Polygon choropleth map for Toronto (158 wards)
morie_tps_render_dbscan(): DBSCAN cluster figure on TPS-projected points
morie_tps_render_district_proportional(): District-level proportional-symbol map
morie_tps_render_points(): Render a TPS point-pattern map (incident dots, optional DBSCAN)
morie_tps_render_quad(): Four-panel composite of TPS rendering primitives
morie_tps_render_satscan_panel(): SaTScan-style spatial scan panel
morie_tps_render_yearly_grid(): Small-multiples panel of per-year TPS choropleths
morie_tps_resolve_hood_col(): Resolve which HOOD_* column to use on a TPS crime data.frame
morie_tps_ripley_k(): Ripley's K function at multiple radii
morie_tps_sarima_forecast(): Seasonal ARIMA forecast on monthly incident counts
morie_tps_sdb_reaction_diffusion(): Short-D'Orsogna-Brantingham 2008 hot-spot PDE
morie_tps_sdb_turing_demo(): Canonical Short-D'Orsogna-Brantingham Turing-pattern demo
morie_tps_seasonal_pattern(): Seasonal / cyclic incident-time patterns
morie_tps_spatial_summary(): Spatial rollup for a TPS crime data.frame
morie_tps_statphysics: Statistical physics of crime for TPS data
morie_tps_statphysics_analyze_all(): Run all four statistical-physics analyses on a list of categories
morie_tps_stochastic: Stochastic-physics-of-crime analyses for TPS data
morie_tps_temporal: Temporal analyses for TPS crime data
morie_tps_temporal_summary(): Temporal rollup for a TPS crime data.frame
morie_tps_urban_scaling_beta(): Bettencourt urban-scaling exponent across the 158 Toronto wards
morie_tps_use_of_force() morie_tpsuof(): TPS Use-of-Force rate + type distribution
morie_tps_year_over_year_trend(): Year-over-year linear trend on incident counts
morie_tps_year_to_hood_version(): Recommended HOOD_* schema version for a given OCC_YEAR
morie_tps_yoy_panel(): Side-by-side year-over-year panel across TPS categories
morie_transformer_genomic(): Transformer (1-head self-attention) genomic predictor (base R)
morie_ts(): Construct a validated time series
morie_ts_accuracy(): Forecast accuracy metrics
morie_ts_acf(): Ordered autocorrelation / autocovariance of a series
morie_ts_arima(): Fit an ARIMA / SARIMA model
morie_ts_backtest(): Back-test a forecasting configuration on a holdout tail
morie_ts_decompose(): Decompose a seasonal time series
morie_ts_difference(): Difference a series, retaining the information to reverse it
morie_ts_forecast(): Forecast from a fitted time-series model
morie_ts_select(): Select ARIMA orders by information criterion
morie_ts_stationarity(): Test a series for stationarity
morie_ts_trim_forecast(): Trim a forecast to a maximum prediction-interval width
morie_ts_undifference(): Reverse morie_ts_difference()
morie_tsboot(): Native block bootstrap for time series
morie_tsne_reduction(): t-SNE for non-linear dimension reduction (R parity)
morie_turning_point_test(): Turning-point test (native)
morie_two_boot(): Native two-sample bootstrap
morie_two_sample_coverage(): Two-sample placement coverage (Gibbons Ch 2.11.2)
morie_two_sample_t_test(): Two-sample t-test with tidy output
morie_unobserved_components(): Unobserved-components decomposition (trend + seasonal + irregular)
morie_userguide(): Get path to an MORIE userguide
morie_validate_cpads_data(): Validate a CPADS analysis data frame
morie_validate_outputs_manifest(): Validate outputs manifest structure
morie_van_der_waerden_test(): Van der Waerden two-sample normal-scores location test (Gibbons Ch 8.3.2)
morie_vcov_cl(): One-way clustered covariance (native, CR0 / CR1)
morie_vcov_hac(): HAC (Newey-West) covariance (native)
morie_vcov_hc(): Heteroskedasticity-consistent covariance (native, HC0-HC5)
morie_vcov_robust(): Unified robust-covariance dispatcher (native)
morie_vecm(): Vector error-correction model (VECM)
morie_verify_statistical_output(): Verify that a serialised statistical output meets minimum quality gates
morie_vertex_access_token(): Fetch and cache a Google Cloud access token via gcloud
morie_vertex_ask_gemini(): Send a single-turn prompt to Gemini via Vertex AI
morie_vertex_health_check(): Tiny smoke test for the Vertex AI client
morie_vertex_resolve_config(): Resolve Vertex AI configuration from environment variables
morie_vpd_download_instructions(): Print step-by-step VPD GeoDASH download instructions
morie_wavelet_time_series(): Discrete wavelet decomposition for a time series
morie_wayback_url(): Resolve a Wayback Machine snapshot URL (via rmoriebricklayer)
morie_weight_cbps(): Covariate-balancing propensity score (Imai & Ratkovic 2014)
morie_weight_diagnostic(): Balance diagnostics for a morie_weight object
morie_weight_entropy(): Entropy-balancing weights (Hainmueller 2012)
morie_weight_ow(): Overlap weights (Li, Morgan & Zaslavsky 2018)
morie_weight_ps(): Propensity-score weights (logistic base learner)
morie_weight_stabilized(): Stabilized IPW (Austin 2009 / Robins et al. 2000)
morie_weight_super(): SuperLearner-style ensemble propensity weights
morie_weight_trimming(): Trim extreme weights from a morie_weight object
morie_weights_bootstrap(): Bootstrap replicate weights (Rao-Wu rescaling within strata).
morie_weights_brr(): Balanced Repeated Replication (BRR) weights.
morie_weights_calibrate_to_totals(): Dispatch helper – calibrate to totals via "raking" or "greg".
morie_weights_combined(): Combined design x nonresponse x post-strat (x trim) pipeline.
morie_weights_deff(): Kish design effect (n / ESS).
morie_weights_design(): Design weights from inclusion probabilities.
morie_weights_detect_extreme(): Detect extreme weights at +/- k * IQR or by absolute percentile.
morie_weights_diagnostics(): Comprehensive weight diagnostics.
morie_weights_ess(): Kish effective sample size: \((\sum w_i)^2 / \sum w_i^2\).
morie_weights_fay_brr(): Fay's BRR weights with perturbation coefficient fay_coefficient in [0,1).
morie_weights_greg(): Generalised regression (GREG) calibration.
morie_weights_jackknife(): Jackknife replicate weights (JK1 delete-1 or JKn stratified delete-n).
morie_weights_multiframe(): Multi-frame (dual-frame) survey weights (Hartley compositing).
morie_weights_nonresponse(): Non-response adjustment within cells.
morie_weights_normalize(): Normalise weights so they sum to n (sample) or N (population).
morie_weights_poststratify(): Post-stratification weight adjustment.
morie_weights_propensity_nonresponse(): Propensity-score non-response weights (logistic).
morie_weights_rake(): Raking calibration (iterative proportional fitting).
morie_weights_replicate_variance(): Variance estimation from replicate estimates.
morie_weights_sdr(): Successive Difference Replication (SDR) weights.
morie_weights_smooth(): Smooth survey weights via shrinkage toward the mean (or log-mean).
morie_weights_trim(): Trim extreme weights at percentile cutpoints.
morie_wilcox_test(): Native Wilcoxon rank-sum permutation test
morie_wilcoxon_power(): Monte-Carlo power of the Wilcoxon signed-rank test (Gibbons Ch 5.7.3)
morie_wilcoxon_signed_rank_test(): Wilcoxon signed-rank test (paired)
morie_write_audit_markdown(): Write a Markdown audit report.
morie_write_synthetic_data(): Write synthetic epidemiology-style data to CSV
morie_xgboost_objective(): XGBoost regularized objective (R parity)
morie_xml_sax(): Parse XML natively with SAX-style callbacks (pure R)
mrm_anova_bonferroni(): One-way ANOVA with pairwise Bonferroni-adjusted t-tests
mrm_anova_oneway(): One-way ANOVA + Tukey HSD post-hoc
mrm_anova_power(): Power of one-way ANOVA given Cohen's f
mrm_assumptions_check(): Composite Rubin-style identifiability assumption check
mrm_causal_design(): Designed-experiment convenience wrapper around the morie causal estimator family
mrm_check_balancing(): Composite balance verdict using the Imbens-Rubin %SMD criterion
mrm_check_overlap(): Propensity-score support overlap diagnostic (Cole-Hernan 2008)
mrm_classify_mandela(): Mandela Rules classifier for solitary-confinement placements
mrm_clt_demo(): Central Limit Theorem demonstrator
mrm_design: Experimental-design callables (designexptr-inspired)
mrm_diagnostics: Causal-inference diagnostics (R parity)
mrm_doe: Design-of-Experiments toolkit (R parity)
mrm_factorial_2k(): 2^k factorial-design analysis with main effects + interactions
mrm_fractional_factorial(): Fractional 2^(k-p) factorial: main effects + alias structure
mrm_gentrification: Baseline-conditional gentrification coding (MRM primitive)
mrm_gentrification_panel(): Construct a baseline-conditional 3-level gentrification factor
mrm_graeco_latin(): Graeco-Latin square four-way ANOVA (row, col, Latin, Greek)
mrm_kulldorff: Kulldorff space-time scan statistic on TPS event data
mrm_latin_square(): Latin-square three-way ANOVA (row, col, treatment)
mrm_lisa: LISA (Local Indicators of Spatial Association) on polygon-level crime data + per-year polygon Moran's I time series
mrm_mathstats: Mathematical-statistics / simulation / computation toolkit (R parity)
mrm_mc_power(): Empirical Monte-Carlo power
mrm_median_causal_effect(): Median causal effect via 1:1 nearest-neighbour PS matching
mrm_morans_i(): Moran's I statistic for residual spatial autocorrelation
mrm_oneprop_test(): One-proportion test (binomial exact + Wald approximation)
mrm_otis: MRM-framework analyses on Ontario OTIS data
mrm_otis_mandela_spectrum(): Mandela Rules apples-to-apples spectrum on OTIS b01
mrm_otis_mortification_cooccurrence(): Pairwise Cramer's V of OTIS b01 alert columns (mortification proxy)
mrm_otis_placement_concentration(): Per-individual segregation-placement-count concentration on OTIS b09
mrm_otis_region_locality(): OTIS b01 region locality: chi-square + diagonal-share
mrm_otis_seg_duration_km(): Kaplan-Meier survival on OTIS b01 segregation-placement durations
mrm_perm_block(): Block-permutation test for treatment effect
mrm_pit(): Probability Integral Transform (PIT)
mrm_primitives_ordinal: Threshold-specific ordinal-logit primitive (MRM)
mrm_qq_plot(): Q-Q plot coordinates against a reference distribution
mrm_random_latin(): Generate a random k x k Latin square
mrm_rcbd(): Randomised complete block design (RCBD) two-way ANOVA
mrm_response_surface(): Second-order response-surface fit (Box-Wilson 1951)
mrm_samples: Included reference data samples and dataset fetchers
mrm_siu: MRM-framework analyses on Ontario SIU (Special Investigations Unit) data
mrm_siu_case_to_decision_km(): KM survival of SIU case-to-decision gap per police service
mrm_siu_outcome_classifier(): Tabulate SIU Director's-decision outcomes
mrm_siu_per_service_rate(): Per-police-service SIU case-rate summary
mrm_spatial_spillover: Spatial Durbin / SAR direct-indirect-total decomposition (MRM primitive)
mrm_spatial_spillover_decomposition(): SDM direct / indirect / total decomposition
mrm_standardised_difference(): Imbens-Rubin standardised %SMD per covariate
mrm_synthetic_area_exposure(): Compute the synthetic exposure offset for each area
mrm_synthetic_exposure: Synthetic small-area-estimated exposure offset (MRM primitive)
mrm_threshold_coefficient(): Extract coefficient(s) for one covariate across all thresholds
mrm_threshold_specific_ordinal(): Fit a threshold-specific cumulative-logit ordinal regression
mrm_tps: MRM-framework analyses on Toronto Police Service (TPS) open data
mrm_tps_kulldorff_scan(): Run a 3-d (lat, lon, time) Kulldorff scan with MC inference
mrm_tps_levy_scaling(): Levy-flight Hill-MLE exponent on TPS inter-incident step lengths
mrm_tps_lisa(): Local Moran's I per polygon + quadrant + 999-permutation significance
mrm_tps_load_hawkes_refit(): Load the precomputed per-category TPS Hawkes refit manifest
mrm_tps_moran_clustering(): Global Moran's I + DBSCAN summary on TPS lat/long event data
mrm_tps_neighbourhood_recurrence_km(): Kaplan-Meier inter-event recurrence on TPS by neighbourhood
mrm_tps_polygon_moran_per_year(): Per-year global Moran's I time series across a polygon surface
mrm_two_treatment_test(): Two-treatment outcome comparison with three assumption regimes
mrm_twoprop_test(): Two-proportion test (chi-square + Fisher exact + Wald)
mrm_uof: Generic Multilevel Reconciliation Methodology (MRM) Use-of-Force callables
mrm_uof_data_quality_audit(): Schema, null, and suspect-value audit
mrm_uof_demographic_disparity(): Demographic disparity in outcome rates with risk-ratio CIs
mrm_uof_force_concentration(): Concentration of UoF incidents across forces / services
mrm_uof_region_locality(): Region-at-time vs region-now locality contingency
mrm_uof_weapon_diversity(): Weapon-by-force contingency test
mrm_uof_yoy_change(): Year-on-year change in incident counts
mrm_var_test(): Chi-square test for variance (Wilks 1962)
n_effective_tests(): Effective number of independent tests from a correlation matrix
n_stat_commands(): Total number of registered commands (excluding aliases)
nested_cross_validate(): Nested cross-validation with inner-loop grid search
normality_suite(): Run a suite of normality tests
number_needed_to_harm(): Number needed to harm (NNH) — sign-reversed NNT
number_needed_to_treat(): Number needed to treat (NNT) = 1 / |RD|
nw_regression(): Nadaraya-Watson kernel regression
odds_ratio(): Odds ratio for a 2x2 table [[a, b], [c, d]]
odds_ratio_table(): Odds-ratio table from a fitted logistic GLM
omega_squared(): Omega-squared — less biased than eta-squared
omitted_variable_bias(): Omitted-variable bias analysis (sensemakr framework)
one_proportion_ztest(): One-sample z-test for a proportion
one_sample_ttest(): One-sample Student's t-test
one_way_anova(): One-way between-subjects ANOVA
or_to_d(): Convert odds ratio to Cohen's d (Hasselblad & Hedges, 1995)
or_to_r(): Convert OR to Pearson r via d
paired_permutation_test(): Paired permutation test (sign-flipping)
paired_ttest(): Paired-sample t-test
parametric_bootstrap(): Parametric bootstrap
partial_correlation(): Partial Pearson correlation controlling for covariates
partial_eta_squared(): Partial eta-squared
pburg(): Burg autoregressive power spectral density
pcgenv(): PCG Shannon-energy envelope
pcgmur(): PCG murmur likelihood score
pcgseg(): PCG S1/S2 heart-sound segmentation
pearson_correlation(): Pearson product-moment correlation
permutation_fdr(): Permutation-based FDR control via empirical null p-value distribution
permutation_fwer(): Permutation-based FWER control via step-down max-T (Westfall-Young)
permutation_test(): Two-sample permutation test
pettitt_changepoint(): Pettitt non-parametric change-point detection
pfd(): Petrosian fractal dimension
ph_assumption_test(): Proportional-hazards assumption test (Schoenfeld-style)
phi_coefficient(): Phi coefficient for a 2x2 contingency table
plot(<morie_cluster>): Default 2-D cluster plot
plot(<morie_lm>): Default diagnostic plot for a morie_lm
point_biserial_correlation(): Point-biserial correlation
predict(<morie_cluster>): Assign new data to existing clusters without re-fitting
predict(<morie_lm>): Predict from a morie_lm, optionally with intervals
predict(<morie_ml_fit>): Predict from a trained model
prediction_interval(): Prediction interval for a new study (random-effects meta)
print(<morie_audit_result>): Print method for audit results.
print(<morie_tps_result>): Pretty-print method for morie_tps_result objects.
print(<morie_variable_taxonomy>): Print method for taxonomy entries.
probabilistic_bias_analysis(): Probabilistic (Monte Carlo) sensitivity analysis
r_effect_size(): Pearson r as an effect size with Fisher-z CI
r_squared(): Coefficient of determination R^2
r_to_d(): Convert Pearson r to Cohen's d
r_to_or(): Convert Pearson r to OR via d
ramsey_reset_test(): Ramsey RESET test for functional-form misspecification
random_effects_meta(): Random-effects (DerSimonian-Laird) meta-analytic pooling
rank_biserial_correlation(): Rank-biserial correlation (matched rank version)
rate_ratio(): Incidence rate ratio (IRR)
register_stat_command(): Register a stat_command in the package-level registry
regression_table(): Side-by-side regression table for multiple model fits
repeated_cv(): Repeated K-fold cross-validation
repeated_measures_anova(): One-way repeated-measures ANOVA
resolve_stat_command(): Resolve a command by canonical name or alias
risk_difference(): Risk difference for a 2x2 table
risk_ratio(): Risk ratio (relative risk) for a 2x2 table
rosenbaum_bounds(): Rosenbaum sensitivity analysis for matched-pair designs
rrint(): RR interval series from R-peak sample indices
run_stat_command(): Run a command's REPL handler with positional/keyword arguments
runs_test(): Wald-Wolfowitz runs test for randomness
sampen(): Sample entropy
score_data_quality(): Multi-dimensional data quality scores
score_test(): Score (Lagrange multiplier) test
semi_partial_correlation(): Semi-partial (part) correlation
sensitivity: Sensitivity analysis for causal inference assumptions
sensitivity_rosenbaum(): Rosenbaum bounds sensitivity analysis (data-frame interface)
sensitivity_summary(): Generate a comprehensive sensitivity-analysis summary
sgolay(): Savitzky-Golay smoothing (direct alias)
sidak(): Sidak FWER correction
silverman_bandwidth(): Silverman rule-of-thumb bandwidth
simes_combined(): Simes test for the global null
spearman_correlation(): Spearman rank correlation
specification_curve(): Specification curve analysis
standardized_coefficients(): Standardised regression coefficients (beta weights)
stat_bridge_exec(): Execute a single command and return the resulting text
stat_bridge_fn_info(): Inspect a single command by name
stat_bridge_fn_search(): Search the registry for matching commands
stat_bridge_help(): Formatted text dump of the command registry
stat_bridge_main(): Command-line dispatcher
stat_bridge_registry_json(): JSON enumeration of all registered commands
stat_bridge_verify(): Self-test enumeration helper
stat_command(): Construct a stat_command entry
statistics: Comprehensive hypothesis testing suite for epidemiological research
storey_q(): Storey q-value procedure (adaptive FDR)
stouffer_combined(): Stouffer's z-score method
subsampling(): Subsampling inference (Politis, Romano & Wolf)
substance_categories: Substance Categories
summary_statistics_table(): Descriptive statistics for a set of variables
table1(): Table 1 (baseline characteristics) stratified by group
tables_pub: Publication-ready table generation
taphonomy: Taphonomic preservation as a causal-inference problem
temporal_validate(): Train on earlier data, test on later data
tippett_combined(): Tippett's minimum-p method
tipping_point_analysis(): Tipping-point analysis for missing-data sensitivity
tox: Forensic toxicology: matrix-aware quantitation and antemortem inference
tps_crime: Cross-category crime analyses for Toronto Police Service (TPS) datasets
tps_csi: Statistics Canada Crime Severity Index (CSI) weights for TPS data
tps_spatial: Spatial analyses for TPS crime data
tps_spatial_advanced: Heavyweight spatial statistics for TPS data
treatment_effect_table(): Summary table of causal effect estimates from multiple estimators
two_proportion_ztest(): Two-sample z-test for the difference in proportions
two_sample_ttest(): Independent two-sample t-test (equal or unequal variance)
two_way_anova(): Two-way factorial ANOVA (Type-II SS)
validate_schema(): Validate a data frame against a list of column rules
validation: Data and model validation framework
morie_datasets_vancouver_graffiti() morie_datasets_vancouver_noise_control_areas() morie_datasets_vancouver_homeless_shelters() morie_datasets_vancouver_property_use_inspection_districts() morie_datasets_vancouver_fire_halls() morie_datasets_vancouver_community_centres() morie_datasets_vancouver_community_food_markets() morie_datasets_vancouver_disability_parking() morie_datasets_vancouver_public_art(): Included Vancouver Open Data crime-adjacent civic datasets
vargha_delaney_a(): Vargha-Delaney A statistic
variable_taxonomy: Per-variable taxonomy + dispatcher (R mirror of morie.variable_taxonomy)
variance_equality_suite(): Run a suite of homogeneity-of-variance tests
variance_ratio(): Variance ratio (F-test for equality of variances)
wald_test(): Wald test for linear restrictions on parameters
welch(): Welch power spectral density
welch_ttest(): Welch's t-test (convenience wrapper)
wilcoxon_signed_rank(): Wilcoxon signed-rank test (one-sample or paired)
wild_bootstrap(): Wild bootstrap for linear regression with heteroskedasticity