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Refactor ProblemModellingController for population inference #183

@DavAug

Description

@DavAug

Use case: Simultaneous inference on control group and dose group.

  • Automatically reduce outputs of model when not all outputs where measured.
  • Add optional field to HierarchicalLogLikelihood which can be used to map the parameters to the population models
  • Construct masks for the parameters of the individual log-likelihoods and masks for the inputs to the population models.
  • Masks for individuals most efficient if array of indices are constructed
  • population models can be evaluated using slices according to the ordering
  • The parameters are ordered as before but some individual parameters can now be dropped if they don't exist on the bottom level.

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