start_params: array-like or MixedLMParams :
Starting values for the profile log-likelihood. If not a
MixedLMParams instance, this should be an array
containing the packed parameters for the profile
log-likelihood, including the fixed effects
parameters.
reml : bool
If true, fit according to the REML likelihood, else
fit the standard likelihood using ML.
cov_pen : CovariancePenalty object
A penalty for the random effects covariance matrix
fe_pen : Penalty object
A penalty on the fixed effects
free : MixedLMParams object
If not None, this is a mask that allows parameters to be
held fixed at specified values. A 1 indicates that the
correspondinig parameter is estimated, a 0 indicates that
it is fixed at its starting value. Setting the cov_re
component to the identity matrix fits a model with
independent random effects. Note that some optimization
methods do not respect this constraint (bfgs and lbfgs both
work).
full_output : bool
If true, attach iteration history to results
method : string
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