Poisson model for count data
| Parameters: | endog : array-like
exog : array-like
|
|---|
Attributes
| endog | array | A reference to the endogenous response variable |
| exog | array | A reference to the exogenous design. |
| nobs | float | The number of observations of the model. |
Methods
| cdf(X) | Poisson model cumulative distribution function |
| fit([start_params, maxiter, method, tol]) | Fits the Poisson model. |
| hessian(params) | Poisson model Hessian matrix of the loglikelihood |
| information(params) | Fisher information matrix of model |
| initialize() | Initialize is called by |
| loglike(params) | Loglikelihood of Poisson model |
| pdf(X) | Poisson model probability mass function |
| predict(design) | After a model has been fit predict returns the fitted values. |
| score(params) | Poisson model score (gradient) vector of the log-likelihood |