Inference table of a HON bootstrap

Usage

# S3 method for class 'net_hon_boot'
hg_get(
  x,
  what = "edges",
  ...,
  min_support = NULL,
  order_min = NULL,
  sort_by = NULL,
  top = NULL
)

x: A net_hon_boot object from hg_bootstrap().
what: "edges", the only table: one row per rule edge.
...: Additional arguments (ignored).
min_support: Numeric in [0, 1] or NULL. Keep only rule edges with at least this bootstrap support.
order_min: Integer or NULL. Keep only rule edges of at least this order (e.g. 2 for the genuinely higher-order rules).
sort_by: NULL (order/from/to, default), "count", "probability", or "support" - sort the table by that column, largest first (ties broken by from/to so the order is deterministic).
top: Integer or NULL. Return only the first top rows, applied after any filter and after sort_by, so sort_by and top compose. Default NULL returns every row.

A data.frame, one row per rule edge: from, to, order, count, probability, ci_lower, ci_upper, support, n_boot_used.