def posteriori_covariance(self):
        r""" Covariance of the estimated posteriori."""
        K = GLMM.covariance(self)
        tau = self._ep._posterior.tau
        return pinv(pinv(K) + diag(1 / tau))
def posteriori_covariance(self):
        r""" Covariance of the estimated posteriori."""
        K = GLMM.covariance(self)
        tau = self._ep._posterior.tau
        return pinv(pinv(K) + diag(1 / tau))
def posteriori_covariance ( self ) : K = GLMM . covariance ( self ) tau = self . _ep . _posterior . tau return pinv ( pinv ( K ) + diag ( 1 / tau ) )
r""" Covariance of the estimated posteriori.
r Covariance of the estimated posteriori .