https://github.com/pat-alt/dag

A simple module for Directed Acyclical Graphs (DAG). Given a DAG we develop a simple algorithm that identifies all valid adjustment sets.
https://github.com/pat-alt/dag

causal-inference directed-acyclic-graph python

Last synced: about 8 hours ago
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A simple module for Directed Acyclical Graphs (DAG). Given a DAG we develop a simple algorithm that identifies all valid adjustment sets.

• Host: GitHub
• URL: https://github.com/pat-alt/dag
• Owner: pat-alt
• License: mit
• Created: 2020-11-07T12:14:55.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-04-24T08:10:46.000Z (over 3 years ago)
• Last Synced: 2025-01-03T00:56:55.128Z (7 days ago)
• Topics: causal-inference, directed-acyclic-graph, python
• Language: Jupyter Notebook
• Homepage:
• Size: 445 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# dag

A simple module for Directed Acyclical Graphs (DAG). Given a DAG we develop a simple algorithm that identifies all valid adjustment sets. The main functionality is explained in the accompanying Jupyter notebooks:

1. Core functionality [here](causal_graphs_in_action.ipynb).

2. Example graphs [here](examples.ipynb).