def __call__(self, p):
    '\n        The logit transform\n\n        Parameters\n        ----------\n        p : array_like\n            Probabilities\n\n        Returns\n        -------\n        z : ndarray\n            Logit transform of `p`\n\n        Notes\n        -----\n        g(p) = log(p / (1 - p))\n        '
    p = self._clean(p)
    return np.log((p / (1.0 - p)))
The logit transform

Parameters
----------
p : array_like
    Probabilities

Returns
-------
z : ndarray
    Logit transform of `p`

Notes
-----
g(p) = log(p / (1 - p))
def __call__(self, p):
    '\n        The logit transform\n\n        Parameters\n        ----------\n        p : array_like\n            Probabilities\n\n        Returns\n        -------\n        z : ndarray\n            Logit transform of `p`\n\n        Notes\n        -----\n        g(p) = log(p / (1 - p))\n        '
    p = self._clean(p)
    return np.log((p / (1.0 - p)))