code: def gendat_overdispersed():
      exs = Overdispersed_simulator()
      exs.params = np.r_[2.0, 0.2, 0.2, -0.1, -0.2]
      exs.ngroups = 200
      exs.scale_inv = 2.0
      exs.dparams = []
      exs.simulate()
      return exs, Independence()
  
file_path: statsmodels/statsmodels/genmod/tests/gee_poisson_simulation_check.py
imports: import numpy
  from statsmodels.genmod.families import Poisson
  from .gee_gaussian_simulation_check import GEE_simulator
  from statsmodels.genmod.generalized_estimating_equations import GEE
  from statsmodels.genmod.cov_struct import Exchangeable, Independence
label_desc: Use image node_id 2 for calling a global function with example usage: gendat_overdispersed() and returns: exs,  Independence