auto_filter             Filter with automatic tracking
auto_mutate             Mutate with automatic codebook registration
auto_summarise          Summarise with automatic codebook registration
cb_checkpoint           Checkpoint a Spark DataFrame
cb_export               Export codebook to file
cb_get                  Get the current codebook as a tibble
cb_init                 Initialize autocodebook session
cb_register             Manually register a variable in the codebook
cb_render               Render the codebook as a gt table
cb_reset                Reset the codebook (clear all entries)
cb_set_default_cache    Toggle default caching for big-data verbs
cb_set_verbose          Toggle verbose diagnostic messages
flow_diagram            Draw the eligibility flow as a CONSORT-style
                        flowchart
flow_diagram_export     Save the eligibility flowchart to a file
flow_get                Get the current flow tree (raw structure)
flow_reset              Reset the flow tree
flow_table              Flow tree as a tidy table
generate_report         Generate a standardized report from the current
                        session
track_export            Export tracking table to file
track_get               Get the current tracking log as a tibble
track_outcomes          Attach outcome counts to the current leaves
                        (CONSORT flowchart)
track_render            Render the tracking log as a gt table
track_reset             Reset the tracking log
track_split             Split the cohort into branches by a column
                        (CONSORT flowchart)
track_step              Record a tracking step
