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.
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
predict
([exog, linear])Return predicted values for the mean structure.
random_effects
([term])Posterior mean and standard deviation of random effects.
summary
()Methods
predict
([exog, linear])Return predicted values for the mean structure.
random_effects
([term])Posterior mean and standard deviation of random effects.
summary
()