larch.numba.Model.maximize_loglike
larch.numba.Model.maximize_loglike¶
- Model.maximize_loglike()¶
Maximize the log likelihood.
- Parameters
method (str, optional) – The optimization method to use. See scipy.optimize for most possibilities, or use ‘BHHH’. Defaults to SLSQP if there are any constraints or finite parameter bounds, otherwise defaults to BHHH.
quiet (bool, default False) – Whether to suppress the dashboard.
options (dict, optional) – These options are passed through to the scipy.optimize.minimize function.
maxiter (int, optional) – Maximum number of iterations. This argument is just added to options for most methods.
- Returns
dictx – A dictionary of results, including final log likelihood, elapsed time, and other statistics. The exact items included in output will vary by estimation method.