statsmodels.tsa.statespace.varmax.VARMAX.filter¶

VARMAX.filter(params, transformed=True, includes_fixed=False, complex_step=False, cov_type=None, cov_kwds=None, return_ssm=False, results_class=None, results_wrapper_class=None, low_memory=False, **kwargs)¶

Kalman filtering

Parameters:¶

params : array_like¶

Array of parameters at which to evaluate the loglikelihood function.

transformed : bool, optional¶

Whether or not params is already transformed. Default is True.

return_ssm : bool,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

low_memory : bool, optional¶

If set to True, techniques are applied to substantially reduce memory usage. If used, some features of the results object will not be available (including in-sample prediction), although out-of-sample forecasting is possible. Default is False.

**kwargs¶

Additional keyword arguments to pass to the Kalman filter. See KalmanFilter.filter for more details.