class_docstr: The complementary log-log transform as a link function:
  
  g(x) = log(-log(x))
docstr: Inverse of C-Log-Log transform
  
  g(z) = exp(-exp(z))
  
  INPUTS:
     z   -- linear predictor scale
  
  OUTPUTS: p
     p   -- mean parameters
docstr_tok: ["Inverse","of","C-Log-Log","transform","g","(","z",")","=","exp","(","-exp","(","z",")",")","INPUTS",":","z","--","linear","predictor","scale","OUTPUTS",":","p","p","--","mean","parameters"]
code: def inverse(self, z):
      """
      Inverse of C-Log-Log transform
  
      g(z) = exp(-exp(z))
  
      INPUTS:
         z   -- linear predictor scale
  
      OUTPUTS: p
         p   -- mean parameters
  
      """
      return np.exp(-np.exp(z))
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 2 for calling the CLogLog obj's underlying member method code with example usage: obj.inverse(z) and returns: np