cfid (version 0.1.8)

causal_effect: Causal Effect Identification

Description

Identify a causal effect of the form \(P(y|do(x),z)\) from \(P(v)\) in \(G\).

Usage

causal_effect(g, y, x = character(0), z = character(0), v = integer(0))

Value

An object of class query which is a list with the following components:

• id
  A logical value that is TRUE if the query is identifiable and FALSE otherwise.

• formula
  A functional object expressing the causal effect in terms of the joint probability distribution \(P(v)\) for identifiable queries or NULL if the query is not identifiable.

• data
  The available data, for causal_effect this is always "observations"

• causaleffect
  The original query \(P(y|do(x),z)\) as a probability object.

• undefined
  A logical value, this is always FALSE for causaleffect

Arguments

g

A dag object depicting the causal diagram \(G\).

y

A character vector of response variables \(Y\).

x

A character vector of intervention variables \(X\).

z

An optional character vector of conditioning variables \(Z\).

v

An optional named integer vector giving the value assignments for observed variables in the model, i.e. \(V = v\) or for a subset of \(V\).