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:¶
- formula
str
Formula for the endog and fixed effects terms (use ~ to separate dependent and independent expressions).
- vc_formulas
dictionary
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.
- data
data
frame
The data to which the formulas are applied.
- family
genmod.families
instance
A GLM family.
- vcp_p
float
The prior standard deviation for the logarithms of the standard deviations of the random effects.
- fe_p
float
The prior standard deviation for the fixed effects parameters.
- formula
Last update:
Dec 23, 2024