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Causality Graphical Models in Python

Project description

# 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

## Resources
My understanding of Causality comes mainly from the reading of the follow work:
- Causality, Pearl, 2009, 2nd Editing. (An overview available [here](
- A fantastic blog post, [If correlation doesn’t imply causation, then what does?]( from Michael Nielsen
- [These lecture notes]( from Jonas Peters
- The draft of [Elements of Causal Inference](

## Related Packages
- [Causality](
- [CausalInference](
- [DoWhy](

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