neuralnet_pattc_counterfactuals {DeepLearningCausal}

Assess Population Data counterfactuals

Description

Create counterfactual datasets in the population for compliers and noncompliers. Then predict potential outcomes using trained model from neuralnet_response_model.

Usage

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

Arguments

pop.data

population data.

neuralnet.response.mod

trained model from. neuralnet_response_model.

ID

string for identifier variable.

cluster

string for clustering variable (currently unused).

binary.outcome

logical specifying predicted outcome variable will take binary values or proportions.

Value

data.frame of predicted outcomes of response variable from counterfactuals.