def __call__(self, p):
    '\n        Negative Binomial transform link function\n\n        Parameters\n        ----------\n        p : array_like\n            Mean parameters\n\n        Returns\n        -------\n        z : ndarray\n            The negative binomial transform of `p`\n\n        Notes\n        -----\n        g(p) = log(p/(p + 1/alpha))\n        '
    p = self._clean(p)
    return np.log((p / (p + (1 / self.alpha))))
Negative Binomial transform link function

Parameters
----------
p : array_like
    Mean parameters

Returns
-------
z : ndarray
    The negative binomial transform of `p`

Notes
-----
g(p) = log(p/(p + 1/alpha))
def __call__(self, p):
    '\n        Negative Binomial transform link function\n\n        Parameters\n        ----------\n        p : array_like\n            Mean parameters\n\n        Returns\n        -------\n        z : ndarray\n            The negative binomial transform of `p`\n\n        Notes\n        -----\n        g(p) = log(p/(p + 1/alpha))\n        '
    p = self._clean(p)
    return np.log((p / (p + (1 / self.alpha))))