CPDAG Estimation using PC-Algorithm
Switch branches/tags
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
LICENSE
MANIFEST.in
README.md
pcalg.py
setup.py

README.md

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

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 / IIJ Innovation Institute Inc. / WIDE project