def __call__(self, p):
    '\n        Power transform link function\n\n        Parameters\n        ----------\n        p : array_like\n            Mean parameters\n\n        Returns\n        -------\n        z : array_like\n            Power transform of x\n\n        Notes\n        -----\n        g(p) = x**self.power\n        '
    if (self.power == 1):
        return p
    else:
        return np.power(p, self.power)
Power transform link function

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

Returns
-------
z : array_like
    Power transform of x

Notes
-----
g(p) = x**self.power
def __call__(self, p):
    '\n        Power transform link function\n\n        Parameters\n        ----------\n        p : array_like\n            Mean parameters\n\n        Returns\n        -------\n        z : array_like\n            Power transform of x\n\n        Notes\n        -----\n        g(p) = x**self.power\n        '
    if (self.power == 1):
        return p
    else:
        return np.power(p, self.power)