pcalg

# 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

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