Likelihood model is a subclass of Model.
Methods
| fit(params[, method]) | |
| information(params) | Fisher information function of model = - Hessian of logL with respect |
| loglike(params) | Log-likelihood of model. |
| newton(params) | |
| predict(design) | After a model has been fit predict returns the fitted values. |
| score(params) | Score function of model. |