Awesome

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