# statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.from_formula¶

classmethod PoissonBayesMixedGLM.from_formula(formula, vc_formulas, data, vcp_p=1, fe_p=2, vcp_names=None, vc_names=None)[source]

Fit a BayesMixedGLM using a formula.

Parameters
formulastr

Formula for the endog and fixed effects terms (use ~ to separate dependent and independent expressions).

vc_formulasdictionary

vc_formulas[name] is a one-sided formula that creates one collection of random effects with a common variance parameter. If using categorical (factor) variables to produce variance components, note that generally 0 + … should be used so that an intercept is not included.

datadata frame

The data to which the formulas are applied.

familygenmod.families instance

A GLM family.

vcp_pfloat

The prior standard deviation for the logarithms of the standard deviations of the random effects.

fe_pfloat

The prior standard deviation for the fixed effects parameters.