complier_mod {DeepLearningCausal}

Train complier model using ensemble methods

Description

Train model using group exposed to treatment with compliance as binary outcome variable and covariates.

Usage

complier_mod(
  exp.data,
  complier.formula,
  treat.var,
  ID = NULL,
  SL.learners = c("SL.glmnet", "SL.xgboost", "SL.ranger", "SL.nnet", "SL.glm")
)

Arguments

exp.data

list object of experimental data.

complier.formula

formula to fit compliance model (c ~ x) using complier variable and covariates

treat.var

string specifying the binary treatment variable

ID

string for name of indentifier variable.

SL.learners

vector of strings for ML classifier algorithms. If left NULL employs extreme gradient boosting, elastic net regression, random forest, and neural nets.

Value

model object of trained model.