Allow user-defined lists of arguments to be passed down to the algorithms
Provide high-level parameter aggregations that make it easier to run "standard" analyses.
Obtain uncertainty around estimates (e.g. in the form of posterior marginal quantiles)
Allow results and computationally expensive intermediate data to be extracted/stored and re-loaded. Provide access to the input data used to run the model.
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