Poisson model cumulative distribution function
Parameters: | X : array-like
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Returns: | The value of the Poisson CDF at each point. : |
Notes
The CDF is defined as
\exp\left(-\lambda\right)\sum_{i=0}^{y}\frac{\lambda^{i}}{i!}
where \lambda assumes the loglinear model. I.e.,
\ln\lambda_{i}=X\beta
The parameter X is X\beta in the above formula.