KalmanSmoother.smooth()

statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth

KalmanSmoother.smooth(smoother_output=None, results=None, run_filter=True, prefix=None, complex_step=False, **kwargs) [source]

Apply the Kalman smoother to the statespace model.

Parameters:

smoother_output : int, optional Determines which Kalman smoother output calculate. Default is all (including state, disturbances, and all covariances). results : class or object, optional If a class, then that class is instantiated and returned with the result of both filtering and smoothing. If an object, then that object is updated with the smoothing data. If None, then a SmootherResults object is returned with both filtering and smoothing results. run_filter : bool, optional Whether or not to run the Kalman filter prior to smoothing. Default is True. prefix : string The prefix of the datatype. Usually only used internally.

Returns:

SmootherResults object