GammaGammaModelIndividual.fit#
- GammaGammaModelIndividual.fit(method='mcmc', fit_method=None, **kwargs)#
Infer model posterior.
- Parameters:
- method: str
Method used to fit the model. Options are: - “mcmc”: Samples from the posterior via
pymc.sample
(default) - “map”: Finds maximum a posteriori viapymc.find_MAP
- “demz”: Samples from the posterior viapymc.sample
using DEMetropolisZ - “advi”: Samples from the posterior viapymc.fit(method="advi")
andpymc.sample
- “fullrank_advi”: Samples from the posterior viapymc.fit(method="fullrank_advi")
andpymc.sample
- kwargs:
Other keyword arguments passed to the underlying PyMC routines