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.
docstr: Returns the confidence intervals of the marginal effects
  
  Parameters
  ----------
  alpha : float
      Number between 0 and 1. The confidence intervals have the
      probability 1-alpha.
  
  Returns
  -------
  conf_int : ndarray
      An array with lower, upper confidence intervals for the marginal
      effects.
docstr_tok: ["Returns","the","confidence","intervals","of","the","marginal","effects","Parameters","--","--","--","--","--","alpha",":","float","Number","between","0","and","1",".","The","confidence","intervals","have","the","probability","1-alpha",".","Returns","--","--","--","-","conf_int",":","ndarray","An","array","with","lower",",","upper","confidence","intervals","for","the","marginal","effects","."]
code: def conf_int(self, alpha=0.05):
      """
      Returns the confidence intervals of the marginal effects
  
      Parameters
      ----------
      alpha : float
          Number between 0 and 1. The confidence intervals have the
          probability 1-alpha.
  
      Returns
      -------
      conf_int : ndarray
          An array with lower, upper confidence intervals for the marginal
          effects.
      """
      _check_at_is_all(self.margeff_options)
      me_se = self.margeff_se
      q = norm.ppf(1 - alpha / 2)
      lower = self.margeff - q * me_se
      upper = self.margeff + q * me_se
      return np.asarray(lzip(lower, upper))
  
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 6 for calling the DiscreteMargins obj's underlying member method code with example usage: obj.conf_int(alpha) and returns: np