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 PoissonBayesMixedGLM 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.
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.
vcp_nameslist[str]: The names of the variance component parameters.
vc_nameslist[str]: The names of the random effect realizations.

Returns: