statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit_map¶
method
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BinomialBayesMixedGLM.
fit_map
(method='BFGS', minim_opts=None, scale_fe=False)¶ Construct the Laplace approximation to the posterior distribution.
Parameters: method : string
Optimization method for finding the posterior mode.
minim_opts : dict-like
Options passed to scipy.minimize.
scale_fe : bool
If True, the columns of the fixed effects design matrix are centered and scaled to unit variance before fitting the model. The results are back-transformed so that the results are presented on the original scale.
Returns: BayesMixedGLMResults instance.