# statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit_map¶

method

BinomialBayesMixedGLM.fit_map(method='BFGS', minim_opts=None, scale_fe=False)

Construct the Laplace approximation to the posterior distribution.

Parameters
methodstring

Optimization method for finding the posterior mode.

minim_optsdict-like

Options passed to scipy.minimize.

scale_febool

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.