CPDAG Estimation using PC-Algorithm
Project description
# 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
## 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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pcalg-0.1.8.tar.gz.
File metadata
- Download URL: pcalg-0.1.8.tar.gz
- Upload date:
- Size: 5.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.6.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d842716b459f7f065a15337b5f299bf0dd7b6e95cc8f2f3b43d3fd8d863d704c |
|
| MD5 | eae53c1b9d54ff450f9c9745b97188cf |
|
| BLAKE2b-256 | 91be1ccc09d00d9c841fbdd63b83aabf6f7a50a5e244b1ff25635f8dd6cbf2f9 |
