code: def print_dparams(self, dparams_est):
      for j in range(len(self.nest_sizes)):
          OUT.write(
              "Nest %d variance estimate:  %8.4f\n"
              % (j + 1, dparams_est[j])
          )
          OUT.write(
              "Nest %d variance truth:     %8.4f\n"
              % (j + 1, self.dep_params[j])
          )
  
      OUT.write(
          "Error variance estimate:   %8.4f\n"
          % (dparams_est[-1] - sum(dparams_est[0:-1]))
      )
      OUT.write(
          "Error variance truth:      %8.4f\n" % self.error_sd**2
      )
      OUT.write("\n")
  
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 1 for calling the Nested_simulator obj's underlying member method code with example usage: obj.print_dparams(dparams_est) without return types