class_docstr: Results obtained from Stata 11
class_docstr_tok: ["Results","obtained","from","Stata","11"]
code: def zero_inflated_poisson_logit():
      obj = Namespace()
      obj.nobs = 20190
      obj.params = [
          0.1033783,
          -1.045983,
          -0.0821979,
          0.0085692,
          -0.0267957,
          1.482363,
      ]
      obj.llf = -57005.72199826186
      obj.bse = [
          0.0079912,
          0.02235510,
          0.0107145,
          0.0018697,
          0.0014121,
          0.0085915,
      ]
      obj.conf_int = [
          [0.0877159, 0.1190408],
          [-1.089798, -1.002167],
          [-0.1031979, -0.061198],
          [0.0049045, 0.0122338],
          [-0.0295635, -0.024028],
          [1.465524, 1.499202],
      ]
      obj.aic = 114023.444
      obj.bic = 114070.9
      return obj
  
imports: import os
  import numpy
label_desc: Use image node_id 7 for calling the RandHIE obj's underlying member method code with example usage: obj.zero_inflated_poisson_logit() and returns: obj