Compute lightweight AOI transition-network metrics — compute_gazepoint_transition_network

Compute graph-style summaries from AOI transitions without requiring network packages. Metrics include state count, edge count, density, self-loops, and in/out-degree summaries.

Usage

compute_gazepoint_transition_network_metrics(
  data,
  aoi_col = NULL,
  from_col = NULL,
  to_col = NULL,
  group_cols = NULL,
  time_col = NULL,
  include_self_loops = TRUE
)

Arguments

data: Optional data frame of AOI observations or transition rows.
aoi_col: AOI column for raw sequence data.
from_col: Source-state column for transition data.
to_col: Destination-state column for transition data.
group_cols: Optional grouping columns for raw sequence data.
time_col: Optional ordering column.
include_self_loops: Should self-transitions be included?

Value

A list with graph-level and state-level summaries.