statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit_map¶
- PoissonBayesMixedGLM.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_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.
- method
- Returns:
BayesMixedGLMResultsinstance.