New point release.

What's new?

Use PySCeS for parameter identifiability analysis of kinetic models using the CVODE solver. When performing identifiability analysis in parallel using multiprocessing, additional dependencies are required; these can be installed with pip install "identifiability[pyscesmp]".
Make the degree of the spline used for the profile likelihood plot configurable (default is 2).
The params dictionary is added to the trace dictionary for every step to track all parameters.
The complete optimization result object is now available from the trace dictionary - useful for troubleshooting individual parameter runs.
Standard error estimates are no longer required in the input optimization result, as they are not needed for this method.

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