statsmodels.regression.recursive\_ls.RecursiveLS ================================================ .. currentmodule:: statsmodels.regression.recursive_ls .. autoclass:: RecursiveLS :exclude-members: clone,filter,fit,fit_constrained,fix_params,from_formula,handle_params,hessian,impulse_responses,information,initialize,initialize_approximate_diffuse,initialize_known,initialize_statespace,initialize_stationary,loglike,loglikeobs,observed_information_matrix,opg_information_matrix,predict,prepare_data,score,score_obs,set_conserve_memory,set_filter_method,set_inversion_method,set_smoother_output,set_stability_method,simulate,simulation_smoother,smooth,transform_jacobian,transform_params,untransform_params,update, .. rubric:: Methods .. autosummary:: :toctree: ~RecursiveLS.clone ~RecursiveLS.filter ~RecursiveLS.fit ~RecursiveLS.fit_constrained ~RecursiveLS.fix_params ~RecursiveLS.from_formula ~RecursiveLS.handle_params ~RecursiveLS.hessian ~RecursiveLS.impulse_responses ~RecursiveLS.information ~RecursiveLS.initialize ~RecursiveLS.initialize_approximate_diffuse ~RecursiveLS.initialize_known ~RecursiveLS.initialize_statespace ~RecursiveLS.initialize_stationary ~RecursiveLS.loglike ~RecursiveLS.loglikeobs ~RecursiveLS.observed_information_matrix ~RecursiveLS.opg_information_matrix ~RecursiveLS.predict ~RecursiveLS.prepare_data ~RecursiveLS.score ~RecursiveLS.score_obs ~RecursiveLS.set_conserve_memory ~RecursiveLS.set_filter_method ~RecursiveLS.set_inversion_method ~RecursiveLS.set_smoother_output ~RecursiveLS.set_stability_method ~RecursiveLS.simulate ~RecursiveLS.simulation_smoother ~RecursiveLS.smooth ~RecursiveLS.transform_jacobian ~RecursiveLS.transform_params ~RecursiveLS.untransform_params ~RecursiveLS.update .. rubric:: Properties .. autosummary:: :toctree: ~RecursiveLS.endog_names ~RecursiveLS.exog_names ~RecursiveLS.initial_variance ~RecursiveLS.initialization ~RecursiveLS.loglikelihood_burn ~RecursiveLS.param_names ~RecursiveLS.start_params ~RecursiveLS.state_names ~RecursiveLS.tolerance