pattc_counterfactuals {DeepLearningCausal}R Documentation

Assess Population Data counterfactuals

Description

Create counterfactual datasets in the population for compliers and noncompliers. Then predict potential outcomes from counterfactuals.

Usage

pattc_counterfactuals(
  pop.data,
  response.mod,
  ID = NULL,
  cluster = NULL,
  binary.outcome = FALSE
)

Arguments

pop.data

population dataset

response.mod

trained model from response_model.

ID

string fir identifier variable

cluster

string for clustering variable

binary.outcome

logical specifying whether predicted outcomes are proportions or binary (0-1).

Value

data.frame object of predicted outcomes of counterfactual groups.


[Package DeepLearningCausal version 0.0.104 Index]