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.