Perform one complete MICE iteration.
A single MICE iteration updates all missing values using their respective imputation models, then fits the analysis model to the imputed data.
This function fits the analysis model and returns its parameter estimate. The parameter vector is not stored by the class and is not used in any subsequent calls to combine. Use fit to run all MICE steps together and obtain summary results.
The complete cycle of missing value imputation followed by fitting the analysis model is repeated n_skip + 1 times and the analysis model parameters from the final fit are returned.