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**Bug description**
When using the `PetabImporter` the amici model is re-compiled although it is already available at the location specified by the `output_folder` argument.
Before compiling the a…
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**Feature description**
When performing hierarchical approximation using splines as the observable mapping one should include spline knots and values for each observable in the `result.optimize_resul…
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I have a case where I wish to compute the likelihood profile interval. In this case I have done it manually (by brute forcing) just for comparison. Here is the full profile, and the threshold value pl…
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Basically, in a case, the input `ReactionSystem` model gets mutated. See this minimal example:
```julia
using Catalyst, PEtab, DataFrames
# Model.
rs = @reaction_network begin
(k1, k2), X1 …
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I have a relatively simple case of parameter fitting where I try to use PEtab, but unfortunately, it fails. It might be that I have not used a good noise formula or similar. However, there are some wa…
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I have a case from chemistry where data have been collected on a system over time. The experiments work by the chemist first putting some amounts of species into a container, and then (over time) meas…
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I am trying to fit parameters to a model where I have `PEtabObservables` of the form
```julia
PEtabObservable(S, S*0.05)
```
where `S` is a species. When calling `calibrate_model_multistart` I get…
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I am developing a function for https://github.com/sebapersson/PEtab.jl/issues/100, and want to use `get_odesol` in the process of doing so. However, it seems to output something that is uniformly 0?
…
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**Bug description**
When loading a result object from hierachical optimisation and calling `plot_splines_from_pypesto_result` this results in
`AttributeError: 'Objective' object has no attribute 'ca…
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Ok, I hope to start on this soon, just wanted to go through a few things before I begin implementation.
Currently, I plan to implement two different types of equations (over two separate PRs):
- O…