Run the EM algorithm from a given starting point. This is for ML (not REML), but it seems to be good enough to use for REML starting values.
fe_params : 1d ndarray
cov_re : 2d ndarray
scale : float
This uses the parameterization of the likelihood , note that this differs from the profile likelihood used in the gradient calculations.