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

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