cdt15/lingam
Python package implementing LiNGAM for discovering causal relationships in data using non-Gaussianity.
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LiNGAM is a causal discovery library that estimates linear Bayesian networks and structural equation models from data by leveraging the non-Gaussianity property of data distributions. It provides DirectLiNGAM and related algorithms for inferring causal ordering and adjacency matrices representing causal relationships. The package integrates with scikit-learn, scipy, and other scientific Python libraries for numerical computation.
Frequently asked
- What is cdt15/lingam?
- Python package implementing LiNGAM for discovering causal relationships in data using non-Gaussianity.
- Is lingam open source?
- Yes — cdt15/lingam is open source, released under the MIT license.
- What language is lingam written in?
- cdt15/lingam is primarily written in Python.
- How popular is lingam?
- cdt15/lingam has 497 stars on GitHub.
- Where can I find lingam?
- cdt15/lingam is on GitHub at https://github.com/cdt15/lingam.