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Some thoughts:
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My use case is similar to the example with sensitivity analysis for bayesian models. Generally, I would have some data generating function that takes parameters and a model fitting function that takes data and reports parameter estimates (doesn't matter bayesian or not, both workflows). In parameter recovery studies, I would typically:
I am currently trying to implement this with
tar_map_rep
like so (toy example):This seems to work well, but even with this toy example, the DAG is unusable:
The realistic example would have:
I have two questions:
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