InstrumentalVariableRegression.fit

InstrumentalVariableRegression.fit(X, Z, y, t, coords, priors, ppc_sampler=None)

Draw samples from posterior distribution and potentially from the prior and posterior predictive distributions. The fit call can take values for the ppc_sampler = [‘jax’, ‘pymc’, None] We default to None, so the user can determine if they wish to spend time sampling the posterior predictive distribution independently.