statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit_map¶

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

Construct the Laplace approximation to the posterior distribution.

Parameters:¶

method : str¶

Optimization method for finding the posterior mode.

minim_opts : dict¶

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.

Return type:¶

BayesMixedGLMResults instance.