Can this action perform Bayesian analysis?

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Réponse

Yes, Bayesian analysis is enabled by specifying the 'bayes' parameter. This allows you to define prior distributions for the model parameters using the 'prior' subparameter. The action then uses MCMC methods, such as the No-U-Turn Sampler ('NUTS') or Random Walk Metropolis ('RWM'), to generate posterior samples for inference. You can control aspects like the number of burn-in iterations, samples, and chains.
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countregFitModel

countreg

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Other questions about countregFitModel
What model selection methods are available in the countregFitModel action? How can I save the fitted model for future use, such as scoring? How can I obtain predicted values or other statistics for each observation? What types of count data models can be fitted with this action? What is the purpose of the countreg.countregFitModel action?
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