add.to.dictionary function

Worker function that fits propensity score models

This function fits propensity score models and saves necessary information

add.to.dictionary(X, U, W, alpha)

Arguments

• X: vector of the treatment (0/1)
• U: matrix of covariates to be considered for inclusion/exclusion
• W: matrix of covariates that will be included in all models (optional)
• alpha: vector of inclusion indicators (which columns of U) to included in the propensity score model

Returns

A list. The list contains the following named components: - out: a list that contains the BIC and estimated propensity scores from propensity score models