StructuralCausalModels
Description
A Python package implementing Structural Causal Models (SCMs).
The package makes it possible to go from Structural Causal Models to Graphs. It is also possible to generate a Linear Structural Causal Model directly from a coefficient matrix (i.e. the weighted adjacency matrix of the graph).
'Graph' objects are defined by giving an adjacency matrix (and a name, optionally). They contain and maintain different representations of a graph which can be useful depending on the circumstances, and tools to go from any one representation to any other.
The representations implemented at present are:
- via an adjacency matrix,
- via adjacency lists,
- via edges ("typed" edges : no edge, forward, backward or undirected edge).
Documentation
The documentation for the package is available here.
1 maintainer
Metadata
1 maintainer
Release files for StructuralCausalModels 3.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| StructuralCausalModels-3.2.0.tar.gz | 18.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| StructuralCausalModels-3.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.8 kB
Release files / StructuralCausalModels-3.2.0.tar.gz
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| Size | 18.1 kB |
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Release files / StructuralCausalModels-3.2.0-py3-none-any.whl
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| Tags | Python 3 |
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Security for StructuralCausalModels 3.2.0
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