Loglikelihood of Poisson model
params : array-like
The parameters of the model.
The log likelihood of the model evaluated at `params` :
Notes
\ln L=\sum_{i=1}^{n}\left[-\lambda_{i}+y_{i}x_{i}^{\prime}\beta-\ln y_{i}!\right]
statsmodels.miscmodels.count.PoissonZiGMLE.nloglike
statsmodels.miscmodels.count.PoissonZiGMLE.predict
Enter search terms or a module, class or function name.