statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.filter

MarkovRegression.filter(params, transformed=True, cov_type=None, cov_kwds=None, return_raw=False, results_class=None, results_wrapper_class=None)

Apply the Hamilton filter

Parameters:	params (array_like) – Array of parameters at which to perform filtering. transformed (boolean, optional) – Whether or not params is already transformed. Default is True. cov_type (str, optional) – See fit for a description of covariance matrix types for results object. cov_kwds (dict or None, optional) – See fit for a description of required keywords for alternative covariance estimators return_raw (boolean,optional) – Whether or not to return only the raw Hamilton filter output or a full results object. Default is to return a full results object. results_class (type, optional) – A results class to instantiate rather than MarkovSwitchingResults. Usually only used internally by subclasses. results_wrapper_class (type, optional) – A results wrapper class to instantiate rather than MarkovSwitchingResults. Usually only used internally by subclasses.
Returns:
Return type:	MarkovSwitchingResults