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_meanarray_like

Posterior mean of the fixed effects coefficients.

fe_sdarray_like

Posterior standard deviation of the fixed effects coefficients

vcp_meanarray_like

Posterior mean of the logged variance component standard deviations.

vcp_sdarray_like

Posterior standard deviation of the logged variance component standard deviations.

vc_meanarray_like

Posterior mean of the random coefficients

vc_sdarray_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()


Last update: Feb 14, 2024