Likelihood model is a subclass of Model.
Methods
fit(**kwargs[, start_params, method, ...]) | 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(params, *args, **kwargs[, exog]) | After a model has been fit predict returns the fitted values. |
score(params) | Score vector of model. |
Attributes
endog_names | |
exog_names |