Likelihood model is a subclass of Model.
Methods
| fit([start_params, method, maxiter, tol]) | Fit method for likelihood based models |
| hessian(params) | The Hessian matrix of the model |
| information(params) | Fisher information matrix of model |
| loglike(params) | Log-likelihood of model. |
| predict(design) | After a model has been fit predict returns the fitted values. |
| score(params) | Score vector of model. |