statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit_map

method

PoissonBayesMixedGLM.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.