def setupClass(cls):
endog = y_arma[:,8]
cls.res1 = ARMA(endog).fit(order=(4,1), trend="c", method="css",
disp=-1)
cls.res2 = results_arma.Y_arma41c("css")
cls.decimal_t = DECIMAL_1
cls.decimal_cov_params = DECIMAL_1
cls.decimal_maroots = DECIMAL_3
cls.decimal_bse = DECIMAL_1
def setupClass(cls):
endog = y_arma[:, 8]
cls.res1 = ARMA(endog).fit(order=(4, 1), trend="c", disp=-1)
cls.res2 = results_arma.Y_arma41c()
cls.decimal_cov_params = DECIMAL_3
cls.decimal_fittedvalues = DECIMAL_3
cls.decimal_resid = DECIMAL_3
if fast_kalman:
cls.decimal_cov_params -= 2
cls.decimal_bse -= 1