https://github.com/keiichishima/pcalg

CPDAG Estimation using PC-Algorithm
https://github.com/keiichishima/pcalg

Last synced: about 2 months ago
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CPDAG Estimation using PC-Algorithm

• Host: GitHub
• URL: https://github.com/keiichishima/pcalg
• Owner: keiichishima
• License: bsd-2-clause
• Created: 2015-06-19T12:48:16.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2022-04-18T02:51:56.000Z (over 2 years ago)
• Last Synced: 2024-07-22T13:16:23.693Z (2 months ago)
• Language: Python
• Homepage:
• Size: 85.9 KB
• Stars: 91
• Watchers: 5
• Forks: 31
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CPDAG Estimation using PC-Algorithm

## Overview

This package provides functions to estimate a skeleton graph and a

completed partially acyclic graph (CPDAG) from a data matrix that

describes the appearance patterns of the graph nodes.  The detailed

algorithm is written in [Kalisch2007].

## Code

The source code is available at https://github.com/keiichishima/pcalg

## Bug Reports

Please submit bug reports or patches through the GitHub interface.

## Contributors

- Satoru Kobayashi, https://github.com/cpflat

- basilnsaeed, https://github.com/basilnsaeed

- Dr. Georg M. Goerg

- limjcst, https://github.com/limjcst

- Alexandre Drouin, https://github.com/aldro61

## References

[Kalisch2007] Markus Kalisch and Peter Bhlmann. Estimating

high-dimensional directed acyclic graphs with the pc-algorithm. In The

Journal of Machine Learning Research, Vol. 8, pp. 613-636, 2007.

## Author

Keiichi SHIMA

/ Internet Initiative Japan Inc.

/ WIDE project