class_docstr: The complementary log-log transform as a link function:
  
  g(x) = log(-log(x))
docstr: Derivatve of C-Log-Log transform
  
  g(p) = - 1 / (log(p) * p)
  
  INPUTS:
     p   -- mean parameters
  
  OUTPUTS: z
     z   --  - 1 / (log(p) * p)
docstr_tok: ["Derivatve","of","C-Log-Log","transform","g","(","p",")","=","-","1","\/","(","log","(","p",")","*","p",")","INPUTS",":","p","--","mean","parameters","OUTPUTS",":","z","z","--","-","1","\/","(","log","(","p",")","*","p",")"]
code: def deriv(self, p):
      """
      Derivatve of C-Log-Log transform
  
      g(p) = - 1 / (log(p) * p)
  
      INPUTS:
         p   -- mean parameters
  
      OUTPUTS: z
         z   --  - 1 / (log(p) * p)
  
      """
      p = self.clean(p)
      return -1.0 / (np.log(p) * p)
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 3 for calling the CLogLog obj's underlying member method code with example usage: obj.deriv(p) and returns: unknown