madr.enumerate

matrix of covariates to be considered for inclusion/exclusion

matrix of covariates that will be included in all models (optional)

scalar value for the prior model dependence (1 is an independent prior)

indicator if the two-stage procedure for calculating the model weights should be used

two.stage


This function enumerates all possible models and estimates a model averaged double robust estimate


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.

madr.enumerate: Model averaged double robust estimate with enumeration of all possible models (linear terms only)

Description

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