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Maybe I missed it, but I don't think it's implemented yet:
It would be nice (to have an option) to automatically check whether in case of nested models and identical datasets, the super-model has a likelihood at least as good as any submodel. If this is not the case, this is most likely due to non-converged optimizations, and should be communicated to the user.
The text was updated successfully, but these errors were encountered:
Maybe I missed it, but I don't think it's implemented yet:
It would be nice (to have an option) to automatically check whether in case of nested models and identical datasets, the super-model has a likelihood at least as good as any submodel. If this is not the case, this is most likely due to non-converged optimizations, and should be communicated to the user.
The text was updated successfully, but these errors were encountered: