def loglikeobs(self, params):
    '\n        Loglikelihood for observations of the Beta regressionmodel.\n\n        Parameters\n        ----------\n        params : ndarray\n            The parameters of the model, coefficients for linear predictors\n            of the mean and of the precision function.\n\n        Returns\n        -------\n        loglike : ndarray\n            The log likelihood for each observation of the model evaluated\n            at `params`.\n        '
    return self._llobs(self.endog, self.exog, self.exog_precision, params)
Loglikelihood for observations of the Beta regressionmodel.

Parameters
----------
params : ndarray
    The parameters of the model, coefficients for linear predictors
    of the mean and of the precision function.

Returns
-------
loglike : ndarray
    The log likelihood for each observation of the model evaluated
    at `params`.
def loglikeobs(self, params):
    '\n        Loglikelihood for observations of the Beta regressionmodel.\n\n        Parameters\n        ----------\n        params : ndarray\n            The parameters of the model, coefficients for linear predictors\n            of the mean and of the precision function.\n\n        Returns\n        -------\n        loglike : ndarray\n            The log likelihood for each observation of the model evaluated\n            at `params`.\n        '
    return self._llobs(self.endog, self.exog, self.exog_precision, params)