MNLogit.sample

MNLogit.sample(sample_prior_predictive_kwargs=None, fit_kwargs=None, sample_posterior_predictive_kwargs=None)

Sample all the things.

Run all of the sample methods in the sequence:

• sample_prior_predictive()

• fit()

• sample_posterior_predictive()

Parameters:

sample_prior_predictive_kwargsdict, optional

The keyword arguments for the sample_prior_predictive method.

fit_kwargsdict, optional

The keyword arguments for the fit method.

sample_posterior_predictive_kwargsdict, optional

The keyword arguments for the sample_posterior_predictive method.

Returns:

Self

The model instance.