
- `fit_method` and `indicator_method`:
  To fit a model with the measurement part,
  using the information from `indicators`,
  set `fit_method` to `"sem"` and
  `indicator_method` to `"measurement_model"`

- `data`: The data frame for the model.

- `R`: The number of bootstrap samples.
  Should be at least 5000 but can be
  larger for stable results.

- `seed`: The seed for the random number
  generator. Should always be set to an
  integer to make the results reproducible.

The computation may take some time to run,
especially if missing data is presence,
due to the processing time combining
bootstrapping and full-information maximum
likelihood (FIML), the default way to
handle missing data.