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:¶
BayesMixedGLMResults
instance.
Last update:
Dec 16, 2024