condition_marginalize: Marginalize and/or condition on variables in an ancestral...

In caugi: Causal Graph Interface

Marginalize and/or condition on variables in an ancestral graph (AG)

Description

Marginalize variables out of an AG, and/or condition on variables. Depending on the structure, it could produce a graph with directed, bidirected, and undirected edges.

Usage

condition_marginalize(cg, cond_vars = NULL, marg_vars = NULL)

Arguments

cg	A caugi ancestral graph of class "AG".
cond_vars	Character vector of nodes to condition on.
marg_vars	Character vector of nodes to marginalize over.

Value

A caugi object of class "AG".

References

Definition 4.2.1 in Thomas Richardson. Peter Spirtes. "Ancestral graph Markov models." Ann. Statist. 30 (4) 962 - 1030, August 2002. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/aos/1031689015")}

See Also

Other operations: count_dags(), dag_from_pdag(), enumerate_dags(), exogenize(), latent_project(), meek_closure(), moralize(), mutate_caugi(), normalize_latent_structure(), skeleton()

Examples

mg <- caugi(
  U %-->% X + Y,
  A %-->% X,
  B %-->% Y,
  class = "DAG"
)

condition_marginalize(mg, marg_vars = "U") # ADMG
condition_marginalize(mg, cond_vars = "U") # DAG

caugi documentation built on Oct. 28, 2026, 1:07 a.m.