cid: Context specific interventional discrepancy

In stagedtrees: Staged Event Trees

Context specific interventional discrepancy

Description

Compute the context specific interventional discrepeancy of a staged tree with respect to a reference staged tree.

Usage

cid(object1, object2, FUN = mean)

Arguments

object1	an object of class sevt.
object2	an object of class sevt.
FUN	a function that is used to aggregate CID for each variable. The default mean will obtain the CID as defined in Leonelli and Varando (2021).

Value

A list with components:

• wrong a stages-like structure which record where object2 wrongly infer the interventional distance with respect to object1.

• cid the value of the computed CID.

References

Leonelli M., Varando G. Context-Specific Causal Discovery for Categorical Data Using Staged Trees https://arxiv.org/abs/2106.04416

Examples

model1 <- stages_bhc(full(Titanic))
model2 <- stages_bhc(full(Titanic, 
                          order = c("Survived", "Sex", "Age", "Class")))
cid(model1, model2)$cid
cid(model1, model2)$wrong

stagedtrees documentation built on April 29, 2022, 1:06 a.m.