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

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