causalproblemcheck: Check conditions on causal problem

In causaloptim: An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects

Check conditions on causal problem

Description

Check that a given causal problem (a causal DAG together with a causal query) satisfies conditions that guarantee that the optimization problem is linear.

Usage

causalproblemcheck(digraph, query)

Arguments

digraph	An igraph object representing a digraph. Expected vertex attributes: leftside, latent and nvals. Optional vertex attributes: exposure and outcome. Expected edge attributes: rlconnect and edge.monotone.
query	A string representing a causal query / effect.

Value

TRUE if conditions are met; FALSE otherwise.

Examples

b <- graph_from_literal(X - +Y, Ur - +X, Ur - +Y)
V(b)$leftside <- c(0, 0, 0)
V(b)$latent <- c(0, 0, 1)
V(b)$nvals <- c(2, 2, 2)
V(b)$exposure <- c(1, 0, 0)
V(b)$outcome <- c(0, 1, 0)
E(b)$rlconnect <- c(0, 0, 0)
E(b)$edge.monotone <- c(0, 0, 0)
effectt <- "p{Y(X=1)=1}-p{Y(X=0)=1}"
causalproblemcheck(digraph = b, query = effectt)

causaloptim documentation built on Nov. 2, 2023, 6:06 p.m.