response_model {DeepLearningCausal}

Response model from experimental data using SL ensemble

Description

Train response model (response variable as outcome and covariates) from all compliers (actual + predicted) in experimental data using SL ensemble.

Usage

response_model(
  response.formula,
  exp.data,
  compl.var,
  exp.compliers,
  family = "binomial",
  ID = NULL,
  SL.learners = c("SL.glmnet", "SL.xgboost", "SL.ranger", "SL.nnet", "SL.glm")
)

Arguments

response.formula

formula to fit the response model (y ~ x) using binary outcome variable and covariates

exp.data

experimental dataset.

compl.var

string specifying binary complier variable

exp.compliers

data.frame object of compliers from complier_predict.

family

string for "gaussian" or "binomial".

ID

string for identifier variable.

SL.learners

vector of names of ML algorithms used for ensemble model.

Value

trained response model.