Package index • searchlight

Archive, provenance and exposure

sl_archive_download(): Download and verify the necessary archive snapshots
sl_archive_index(): List available bulk archive snapshots
sl_archive_snapshot(): Extract immutable stop and search CSV snapshots
sl_list_versions(): List force-month archive versions
sl_select_version(): Select one complete version per force-month
sl_read_records(): Read selected immutable archive records
sl_sample(): Load the bundled real archive sample
sl_contract(): Inspect an ingestion contract
sl_boundaries(): Fetch a versioned ONS boundary layer
sl_assign_geography(): Assign anonymised points to local geographies
sl_population(): Census 2021 ethnicity populations
sl_population_crosstab(): Census ethnicity by age and sex
sl_exposure(): Construct an explicit exposure table
sl_cache_clear(): Clear a marked searchlight cache
sl_cache_dir(): Locate the searchlight cache

sl_coverage(): Audit submission coverage on a full force-month grid
sl_coverage_compare(): Compare coverage patterns across two periods
sl_benchmark(): Cross-check annual totals against the Home Office
sl_quality(): Attach submission, timestamp and location diagnostics
sl_timestamp_quality(): Diagnose timestamp completeness and midnight heaping
sl_location_quality(): Diagnose anonymised location quality

sl_counts(): Count events while preserving submission strata
sl_rates(): Calculate rates using observed population-time exposure
sl_rate_ratio(): Estimate an event stop-rate ratio with exposure offsets
sl_missing_ethnicity_bounds(): Bound disparity under allocations of Unknown ethnicity
sl_denominator_scenarios(): Compare compatible population denominator scenarios
sl_standardise(): Directly standardise age-sex stop-event rates
sl_ranking_stability(): Assess area rank uncertainty under count models or posterior draws

sl_count_model(): Fit count models with population-time exposure
sl_spatial_disparity(): Estimate a multivariate spatial stop-rate disparity surface
sl_spatial_map(): Join spatial posterior summaries to their polygons
sl_hit_rates(): Describe three separate outcomes conditional on being searched
sl_veil_of_darkness(): Diagnose ethnicity composition in daylight and darkness
sl_simulate(): Simulate event counts with independent disparity and total intensity

sl_report(): Write an offline report of audited records and analysis results