create_q_matrix: Translate response functions into matrix of counterfactuals

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

Translate response functions into matrix of counterfactuals

Description

Translate response functions into matrix of counterfactuals

Usage

create_q_matrix(respvars, right.vars, cond.vars, constraints)

Arguments

respvars	A list of functions as returned by create_response_function
right.vars	Vertices of graph on the right side
cond.vars	Vertices of graph on the left side
constraints	A vector of character strings that represent the constraints

Value

A list of 3 data frames of counterfactuals and their associated labels

Examples

graphres <- graph_from_literal(Z -+ X, X -+ Y, Ul -+ Z, Ur -+ X, Ur -+ Y)
V(graphres)$leftside <- c(1, 0, 0, 1, 0)
V(graphres)$latent <- c(0, 0, 0, 1, 1)
V(graphres)$nvals <- c(3, 2, 2, 2, 2)
V(graphres)$exposure <- c(0, 1, 0, 0, 0)
V(graphres)$outcome <- c(0, 0, 1, 0, 0)
E(graphres)$rlconnect <- c(0, 0, 0, 0, 0)
E(graphres)$edge.monotone <- c(0, 0, 0, 0, 0)
constraints <- "X(Z = 1) >= X(Z = 0)"
cond.vars <- V(graphres)[V(graphres)$leftside == 1 & names(V(graphres)) != "Ul"]
right.vars <- V(graphres)[V(graphres)$leftside == 0 & names(V(graphres)) != "Ur"] 
respvars <- create_response_function(graphres, right.vars, cond.vars)
create_q_matrix(respvars, right.vars, cond.vars, constraints)

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