code: def gen_gendat_ar0(ar):
      def gendat_ar0(msg=False):
          ars = AR_simulator()
          ars.ngroups = 200
          ars.params = np.r_[0, -1, 1, 0, 0.5]
          ars.error_sd = 2
          ars.dparams = [
              ar,
          ]
          ars.simulate()
          return ars, Autoregressive()
  
      return gendat_ar0
  
imports: from statsmodels.compat.python import lrange
  import scipy
  import numpy
  from itertools import product
  from statsmodels.genmod.families import Gaussian
  from statsmodels.genmod.generalized_estimating_equations import GEE
  from statsmodels.genmod.cov_struct import Autoregressive, Nested
label_desc: Use image node_id 2 for calling a global function with example usage: gen_gendat_ar0(ar) and returns: gendat_ar0, ars,  Autoregressive