assess_kanonymity       Assess k-anonymity over a set of
                        quasi-identifier columns
check_code_readiness    Check whether synthetic data is code-compatible
                        with the original
compare_synthetic       Compare original and synthetic datasets
dataganger_cli          DataGangeR command-line interface
detect_roles            Detect data roles for each column
enforce_kanon           Enforce k-anonymity on a synthetic dataset
                        (output guarantee)
example_admin_claims    Example administrative claims dataset
example_health_survey   Example health survey dataset
example_registry        Example disease registry dataset
export_diagnostic_package
                        Export a Lens-compatible diagnostic schema for
                        a dataset
export_synthetic        Export a synthetic data bundle
geographic_sample       Geographic synthetic sample data
individual_sample       Individual-level synthetic sample data
looks_aggregated        Heuristic: does this data frame look
                        pre-aggregated (a table of counts)?
make_agent_bundle       Create a one-command agent-ready bundle from a
                        raw data file
plot_comparison         Plot comparison summaries
privacy_check           Run disclosure-risk privacy checks
profile_data            Profile a dataset column-by-column
read_input              Read a data file into a tibble
report_issue            Report a problem or share feedback
run_app                 Launch the DataGangeR Shiny Application
suggest_min_rows        Suggest a sufficient synthetic row count
synth_spec              Create a synthesis specification
synthesize_data         Synthesize a data double
temporal_sample         Temporal synthetic sample data
