statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults¶
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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.
Attributes
fe_mean (array_like) Posterior mean of the fixed effects coefficients. fe_sd (array_like) Posterior standard deviation of the fixed effects coefficients vcp_mean (array_like) Posterior mean of the logged variance component standard deviations. vcp_sd (array_like) Posterior standard deviation of the logged variance component standard deviations. vc_mean (array_like) Posterior mean of the random coefficients vc_sd (array_like) Posterior standard deviation of the random coefficients Methods
cov_params
()predict
([exog, linear])Return predicted values for the mean structure. random_effects
([term])Posterior mean and standard deviation of random effects. summary
()Methods
cov_params
()predict
([exog, linear])Return predicted values for the mean structure. random_effects
([term])Posterior mean and standard deviation of random effects. summary
()