class_docstr: The use the CDF of a scipy.stats distribution as a link function:
  
  g(x) = dbn.ppf(x)
docstr: Derivative of CDF link
  
  g(p) = 1/self.dbn.pdf(self.dbn.ppf(p))
  
  INPUTS:
     x   -- mean parameters
  
  OUTPUTS: z
     z   -- derivative of CDF transform of x
docstr_tok: ["Derivative","of","CDF","link","g","(","p",")","=","1\/self.dbn.pdf","(","self.dbn.ppf","(","p",")",")","INPUTS",":","x","--","mean","parameters","OUTPUTS",":","z","z","--","derivative","of","CDF","transform","of","x"]
code: def deriv(self, p):
      """
      Derivative of CDF link
  
      g(p) = 1/self.dbn.pdf(self.dbn.ppf(p))
  
      INPUTS:
         x   -- mean parameters
  
      OUTPUTS: z
         z   -- derivative of CDF transform of x
  
      """
      p = self.clean(p)
      return 1.0 / self.dbn.pdf(self(p))
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 4 for calling the CDFLink obj's underlying member method code with example usage: obj.deriv(p) and returns: unknown