Add new knowledge base page on causal DAGS for quasi-experiments

pymc-labs / CausalPy

A Python package for causal inference in quasi-experimental settings

https://causalpy.readthedocs.io

Apache License 2.0

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Add new knowledge base page on causal DAGS for quasi-experiments #321

Closed drbenvincent closed 4 months ago

drbenvincent commented 5 months ago

This PR adds a new knowledge base page which runs through the causal DAGs for quasi-experiments.
The goal with this PR is to be a first iteration. So the level of detail and explanation is relatively light, nowhere close to textbook level depth. Over time more detail could potentially be added (e.g. adding SCM equations, or covering more variations such as fuzzy regression discontinuity).
[x] Move 'daft' into optional (docs) dependencies

FYI: Recommended way to review is to build the docs locally and read the new page that way.

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juanitorduz commented 4 months ago

@drbenvincent, this looks very nice! I agree we should work on iterations. I suggest adding some examples for users who are new to the topic. This can be overwhelming at first (it was/is for me)

drbenvincent commented 4 months ago

Thanks for the comments @NathanielF + @juanitorduz. I've created #327 to keep track of some of your ideas for the second iteration. Hopefully you think the current changes are ok to merge for this first iteration, but let me know.

juanitorduz commented 4 months ago

@drbenvincent can you put the good first issue to https://github.com/pymc-labs/CausalPy/issues/327 ? We can share it and expect people to contribute :)