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. |