class_docstr: Get marginal effects of a Discrete Choice model.
  
  Parameters
  ----------
  results : DiscreteResults instance
      The results instance of a fitted discrete choice model
  args : tuple
      Args are passed to `get_margeff`. This is the same as
      results.get_margeff. See there for more information.
  kwargs : dict
      Keyword args are passed to `get_margeff`. This is the same as
      results.get_margeff. See there for more information.
code: def __init__(self, results, args, kwargs={}):
      self._cache = {}
      self.results = results
      self.get_margeff(*args, **kwargs)
  
imports: from statsmodels.compat.python import lzip
  import numpy
  from scipy.stats import norm
  from statsmodels.tools.decorators import cache_readonly
label_desc: Use image node_id 1 to create a new DiscreteMargins object  with example: obj = DiscreteMargins(results, args, kwargs)