| add.to.dictionary | Worker function that fits propensity score models |
| add.to.dictionary.outcome | Worker function that fits outcome models |
| bic.to.prob | Convert BIC to model probabilities |
| expit | Expit (inverse logit) function |
| madr | Calculate model averaged double robust estimate |
| madr.enumerate | Model averaged double robust estimate with enumeration of all possible models (linear terms only) |
| madr.mcmc | Calculate model averaged double robust estimate using a pseudo-MC3 algorithm |
| OM.MA | Calculate model probabilities for the outcome models using a pseudo-MC3 algorithm |
| OM.MA.enumerate | Enumerates all possible outcome models (linear terms only) |
| print.madr.enumerate | Print function for madr.enumerate class |
| print.madr.mcmc | Print function for madr.mcmc class |
| print.summary.madr.enumerate | Print function for summary.madr.enumerate class |
| PS.MA | Calculate model probabilities for the propensity score model using a pseudo-MC3 algorithm |
| PS.MA.enumerate | Enumerates all possible propensity score models (linear terms only) |
| summary.madr.enumerate | Provides model averaged double robust estimate for different values of tau |