statsmodels.regression.recursive_ls.RecursiveLS.smooth

RecursiveLS.smooth(return_ssm=False, **kwargs)

Kalman smoothing

Parameters:

• params (array_like) – Array of parameters at which to evaluate the loglikelihood function.
• transformed (boolean, optional) – Whether or not params is already transformed. Default is True.
• return_ssm (boolean,optional) – Whether or not to return only the state space output or a full results object. Default is to return a full results object.
• cov_type (str, optional) – See MLEResults.fit for a description of covariance matrix types for results object.
• cov_kwds (dict or None, optional) – See MLEResults.get_robustcov_results for a description required keywords for alternative covariance estimators
• **kwargs – Additional keyword arguments to pass to the Kalman filter. See KalmanFilter.filter for more details.