docs: def inverse(self, z):
          """
          Inverse of the logit transform
  
          Parameters
          ----------
          z : array-like
              The value of the logit transform at `p`
  
          Returns
          -------
          p : array
              Probabilities
  
          Notes
          -----
          g^(-1)(z) = exp(z)/(1+exp(z))
          """
          z = np.asarray(z)
          t = np.exp(-z)
          return 1. / (1. + t)