How-to-guide for estimation exercise with MSM

[amageh]

Current behavior

We currently have a guide to specifying inputs for MSM estimation with respy but no outline of how to actually estimate the model.

Desired behavior

A guide to estimating a model with respy and estimagic.

Solution / Implementation

I will add a notebook with a small estimation exercise to cover the basics. This can be expanded or added to in the future.

Todo

• Add notebook with estimation exercise to documentation.
• Document PR in CHANGES.rst.

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Codecov Report

Merging #356 into master will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master     #356   +/-   ##
=======================================
  Coverage   84.69%   84.69%           
=======================================
  Files          45       45           
  Lines        3025     3025           
=======================================
  Hits         2562     2562           
  Misses        463      463           

Flag	Coverage Δ
#end_to_end_edge_case	64.95% <ø> (+0.06%)	⬆️
#end_to_end_precise	51.63% <ø> (-2.39%)	⬇️
#end_to_end_rest	71.60% <ø> (-0.53%)	⬇️
#integration_edge_case	42.54% <ø> (ø)
#integration_precise	45.45% <ø> (ø)
#integration_rest	67.17% <ø> (+0.03%)	⬆️
#unit_precise	68.33% <ø> (ø)
#unit_rest	25.12% <ø> (ø)

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[tobiasraabe]

Hi @amageh, please use https://jupyterlab-code-formatter.readthedocs.io/en/latest to format the code inside the notebook.

[tobiasraabe]

Hi Annica, the notebook is fantastic and pretty in-depth. I had only some minor comments. Feel free to address them whenever you have time.

[tobiasraabe]

@amageh Anything left? Otherwise, hit the merge button :)

[tobiasraabe]

Fantastic 🎉!