Pcalg
CPDAG Estimation using PC-Algorithm
Install / Use
/learn @keiichishima/PcalgREADME
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
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