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 |
initialize() | Initialize (possibly re-initialize) a Model instance. For |
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. |