Likelihood model is a subclass of Model.
Methods
| fit([start_params, method, maxiter, ...]) | Fit method for likelihood based models |
| from_formula(formula, data[, subset]) | Create a Model from a formula and dataframe. |
| hessian(params) | The Hessian matrix of the model |
| information(params) | Fisher information matrix of model |
| initialize() | Initialize (possibly re-initialize) a Model instance. |
| loglike(params) | Log-likelihood of model. |
| predict(params[, exog]) | After a model has been fit predict returns the fitted values. |
| score(params) | Score vector of model. |
Attributes
| endog_names | |
| exog_names |