PS.MA

matrix of covariates to be considered for inclusion/exclusion

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

vector of inclusion indicators (which columns of U) to start MCMC algorithm (optional)

alpha

indexes which columns of U should be considered for inclusion in the propensity score model (optional)

master.index

list containing information from previous propensity score model fits (optional)

master.dict


This function uses a pseudo-MC3 algorithm to search the propensity score model space.


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.

PS.MA: Calculate model probabilities for the propensity score model using a pseudo-MC3 algorithm

Description

Usage

Arguments

Value