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

fit_effect(full_data, weight_col, fx_col, ..., .Model_cfg)

Arguments

full_data

The full dataset of interest for the modelling problem.

weight_col

The unquoted weighting variable name to use in model fitting.

fx_col

The unquoted column name of the pseudo-outcome.

...

The unquoted names of covariates to use in the model.

.Model_cfg

A Model_cfg object configuring the appropriate model type to use.

Value

A list with one element, fx. This element contains a Predictor object of the appropriate subclass corresponding to the Model_cfg fit to the data.