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It would be convenient if one could easily recompute things like ReturnData::y and ReturnData::llh for different output parameters. One application would be hierarchical optimization, where we want to recompute those values with e.g. new scaling parameters or standard deviations without repeating the simulation.
It would be convenient if one could easily recompute things like
ReturnData::y
andReturnData::llh
for different output parameters. One application would be hierarchical optimization, where we want to recompute those values with e.g. new scaling parameters or standard deviations without repeating the simulation.Would be best to do that only after #11
It might make sense to split the currently huge
Model
into something likeDynamicModel
andOutputModel
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