Loglikelihood for observations of Poisson model
params : array-like
The parameters of the model.
loglike : ndarray (nobs,)
The log likelihood for each observation of the model evaluated at params. See Notes
Notes
\ln L_{i}=\left[-\lambda_{i}+y_{i}x_{i}^{\prime}\beta-\ln y_{i}!\right]
for observations i=1,...,n
statsmodels.discrete.discrete_model.Poisson.loglike
statsmodels.discrete.discrete_model.Poisson.pdf
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