Model Averaged Double Robust Estimation
Worker function that fits outcome models
Worker function that fits propensity score models
Convert BIC to model probabilities
Expit (inverse logit) function
Model averaged double robust estimate with enumeration of all possible...
Calculate model averaged double robust estimate using a pseudo-MC3 alg...
Calculate model averaged double robust estimate
Enumerates all possible outcome models (linear terms only)
Calculate model probabilities for the outcome models using a pseudo-MC...
Print function for madr.enumerate class
Print function for madr.mcmc class
Print function for summary.madr.enumerate class
Enumerates all possible propensity score models (linear terms only)
Calculate model probabilities for the propensity score model using a p...
Provides model averaged double robust estimate for different values of...
Estimates average treatment effects using model average double robust (MA-DR) estimation. The MA-DR estimator is defined as weighted average of double robust estimators, where each double robust estimator corresponds to a specific choice of the outcome model and the propensity score model. The MA-DR estimator extend the desirable double robustness property by achieving consistency under the much weaker assumption that either the true propensity score model or the true outcome model be within a specified, possibly large, class of models.