MNLogit.sample_prior_predictive

MNLogit.sample_prior_predictive(choice_df=None, utility_equations=None, samples=500, extend_idata=True, **kwargs)

Sample from prior predictive distribution.

Parameters:

choice_dfpd.DataFrame, optional

New choice data. If None, uses data from initialization.

utility_equationslist[str], optional

New utility equations. If None, uses from initialization.

samplesint, optional

Number of prior samples

extend_idatabool, optional

Whether to add to self.idata

**kwargs

Additional arguments for pm.sample_prior_predictive

Returns:

az.InferenceData

Prior predictive samples