@classmethod
def setup_class(cls):
    true = {'params': np.r_[(0.754673, 0.095915, (- 0.358811), 1.163516, (np.exp((- 0.262658)) ** 2), 0.013486, (- 0.057521), (- 0.246983), (- 0.212923))], 'llf': (- 181.26339), 'llf_fit': (- 181.26339), 'llf_fit_em': (- 183.85444), 'bse_oim': np.r_[(0.0965189, 0.0377362, 0.2645396, 0.0745187, np.nan, 0.1199942, 0.137663, 0.1069103, 0.1105311)]}
    super(TestHamiltonAR4, cls).setup_class(true, rgnp, k_regimes=2, order=4, switching_ar=False)
@classmethod
def setup_class(cls):
    true = {'params': np.r_[(0.754673, 0.095915, (- 0.358811), 1.163516, (np.exp((- 0.262658)) ** 2), 0.013486, (- 0.057521), (- 0.246983), (- 0.212923))], 'llf': (- 181.26339), 'llf_fit': (- 181.26339), 'llf_fit_em': (- 183.85444), 'bse_oim': np.r_[(0.0965189, 0.0377362, 0.2645396, 0.0745187, np.nan, 0.1199942, 0.137663, 0.1069103, 0.1105311)]}
    super(TestHamiltonAR4, cls).setup_class(true, rgnp, k_regimes=2, order=4, switching_ar=False)