statsmodels.genmod.families.family.Poisson.loglike_obs¶
-
Poisson.loglike_obs(endog, mu, var_weights=
1.0
, scale=1.0
)[source]¶ The log-likelihood function for each observation in terms of the fitted mean response for the Poisson distribution.
- Parameters:¶
- endog
ndarray
Usually the endogenous response variable.
- mu
ndarray
Usually but not always the fitted mean response variable.
- var_weightsarray_like
1d array of variance (analytic) weights. The default is 1.
- scale
float
The scale parameter. The default is 1.
- endog
- Returns:¶
- ll_i
float
The value of the loglikelihood evaluated at (endog, mu, var_weights, scale) as defined below.
- ll_i
Notes
\[ll_i = var\_weights_i / scale * (endog_i * \ln(\mu_i) - \mu_i - \ln \Gamma(endog_i + 1))\]
Last update:
Oct 29, 2024