The graph used to simulate turnout_data, with income marked as the
exposure and turnout as the outcome. Node coordinates and display labels
are attached, so it plots directly with ggdag::ggdag_status(). Pass it to
DAGassist() to classify covariates and re-estimate against DAG-derived
adjustment sets.
Details
Minimal sufficient adjustment sets, as returned by
dagitty::adjustmentSets():
Total effect:
{age, state}Direct effect:
{age, polint, state}Canonical (total):
{age, elect_comp, industry, state}