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Causal Graphical Models in Python (a fork to fix an incompatibility issue, and obtain a stable repo)

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CausalGraphicalModels

Introduction

causalgraphicalmodels is a python module for describing and manipulating Causal Graphical Models and Structural Causal Models. Behind the scenes it is a light wrapper around the python graph library networkx, together with some CGM specific tools.

It is currently in a very early stage of development. All feedback is welcome.

Example

For a quick overview of CausalGraphicalModel, see this example notebook.

Install

pip install causalgraphicalmodels

or for the bleeding edge version

pip install git+https://github.com/arose13/causalgraphicalmodels.git

Resources

My understanding of Causality comes mainly from the reading of the follow work:

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  • Jupyter Notebook 73.6%
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