statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults¶
- class statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults(model, params, cov_params, optim_retvals=None)[source]¶
Class to hold results from a Bayesian estimation of a Mixed GLM model.
- fe_mean¶
Posterior mean of the fixed effects coefficients.
- Type:
array_like
- fe_sd¶
Posterior standard deviation of the fixed effects coefficients
- Type:
array_like
- vcp_mean¶
Posterior mean of the logged variance component standard deviations.
- Type:
array_like
- vcp_sd¶
Posterior standard deviation of the logged variance component standard deviations.
- Type:
array_like
- vc_mean¶
Posterior mean of the random coefficients
- Type:
array_like
- vc_sd¶
Posterior standard deviation of the random coefficients
- Type:
array_like
Methods
predict([exog, linear])Return predicted values for the mean structure.
random_effects([term])Posterior mean and standard deviation of random effects.
summary()
