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pcalg
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CPDAG Estimation using PC-Algorithm
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README.md
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pcalg
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# 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
