This function prepares data, fits the appropriate model and returns the resulting estimates in a standardized format.

fit_plugin_Y(full_data, weight_col, y_col, a_col, ..., .Model_cfg)



The full dataset of interest for the modelling problem.


The unquoted weighting variable name to use in model fitting.


The unquoted column name of the outcome.


The unquoted column name of the treatment.


The unquoted names of covariates to use in the model.


A Model_cfg object configuring the appropriate model type to use.


A list with two elements, mu1 and mu0 corresponding to the models fit to the treatment and control potential outcomes, respectively. Each is a new Predictor

object of the appropriate subclass corresponding to the the Model_cfg fit to the data.