class_docstr: The logit transform as a link function:
  
  g'(x) = 1 / (x * (1 - x))
  g^(-1)(x) = exp(x)/(1 + exp(x))
docstr: Logit transform
  
  g(p) = log(p / (1 - p))
  
  INPUTS:
     p   -- probabilities
  
  OUTPUTS: z
     z   -- logit transform of p
docstr_tok: ["Logit","transform","g","(","p",")","=","log","(","p","\/","(","1","-","p",")",")","INPUTS",":","p","--","probabilities","OUTPUTS",":","z","z","--","logit","transform","of","p"]
code: def __call__(self, p):
      """
      Logit transform
  
      g(p) = log(p / (1 - p))
  
      INPUTS:
         p   -- probabilities
  
      OUTPUTS: z
         z   -- logit transform of p
  
      """
  
      p = self.clean(p)
      return np.log(p / (1.0 - p))
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 2 for calling the Logit obj's underlying member method code with example usage: obj.__call__(p) and returns: np