CLN: Clean up unused code

closes statsmodels#4513
bashtage · Jul 25, 2019 · d5cf028 · d5cf028
1 parent a96ba16
commit d5cf028
Showing 1 changed file with 2 additions and 8 deletions.
diff --git a/statsmodels/tsa/arima_model.py b/statsmodels/tsa/arima_model.py
@@ -513,15 +513,10 @@ def _fit_start_params_hr(self, order, start_ar_lags=None):
                     if maxlag >= nobs:
                         maxlag = nobs - 1
                     armod = AR(endog).fit(ic='bic', trend='nc', maxlag=maxlag)
-                    min_lag = max(p, q) + 1
-                    if armod.k_ar < min_lag:
-                        start_ar_lags = max(p, q) + 1
-                if start_ar_lags is not None:
-                    # start_ar_lags was provided or AR bic-lags is too small
+                else:
                     if start_ar_lags >= nobs:
                         start_ar_lags = nobs - 1
                     armod = AR(endog).fit(trend='nc', maxlag=start_ar_lags)
-
                 arcoefs_tmp = armod.params
                 p_tmp = armod.k_ar
                 # it's possible in small samples that optimal lag-order
@@ -549,10 +544,9 @@ def _fit_start_params_hr(self, order, start_ar_lags=None):
                 coefs = OLS(endog[max(p_tmp + q, p):], X).fit().params
                 start_params[k:k + p + q] = coefs
             else:
-                # start_params[k + p:k + p + q] = yule_walker(endog, order=q)[0]
                 ar_coeffs = yule_walker(endog, order=q)[0]
                 ar = np.r_[[1], -ar_coeffs.squeeze()]
-                start_params[k+p:k+p+q] = arma2ma(ar, [1], nobs=q+1)[1:]
+                start_params[k + p:k + p + q] = arma2ma(ar, [1], nobs=q+1)[1:]
         if q == 0 and p != 0:
             arcoefs = yule_walker(endog, order=p)[0]
             start_params[k:k + p] = arcoefs