# 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
ElementAI, https://github.com/ElementAI
## 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
1 maintainer
Release files for pcalg 0.2.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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Release files / pcalg-0.2.2.tar.gz
| Download URL | pcalg-0.2.2.tar.gz |
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