BUG: GenericLikelihoodModel propagate hasconst see #7049

statsmodels · Sep 21, 2020 · eeb1eb2 · eeb1eb2
1 parent a1fb8c2
commit eeb1eb2
Showing 1 changed file with 3 additions and 1 deletion.
diff --git a/statsmodels/base/model.py b/statsmodels/base/model.py
@@ -789,6 +789,7 @@ def __init__(self, endog, exog=None, loglike=None, score=None,
         if hessian is not None:
             self.hessian = hessian
 
+        hasconst = kwds.pop("hasconst", None)
         self.__dict__.update(kwds)
 
         # TODO: data structures?
@@ -797,7 +798,8 @@ def __init__(self, endog, exog=None, loglike=None, score=None,
         # self.df_model = 9999
         # somewhere: CacheWriteWarning: 'df_model' cannot be overwritten
         super(GenericLikelihoodModel, self).__init__(endog, exog,
-                                                     missing=missing)
+                                                     missing=missing,
+                                                     hasconst=hasconst)
 
         # this will not work for ru2nmnl, maybe np.ndim of a dict?
         if exog is not None: