statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults

class statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults(model, params, cov_params, optim_retvals=None)

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()