complier_mod: Train complier model using ensemble methods

In DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks

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.

DeepLearningCausal documentation built on Sept. 11, 2024, 8:40 p.m.