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We should have a user-guide with high-level sections dedicated to the following:
What do we mean by networkx-compliant? Explain design philosophy and what classes are useful (i.e. MixedEdgeGraph) and how to use networkx causal algorithms vs networkx algorithms (i.e. by querying the sub-graph of specific edge types).
What is the interpretation of a causal graph? And link possibly relevant examples.
What is the interpretation of interventions in causal graphs? (i.e. F-nodes)
What is the interpretation of an equivalence class of graphs?
We should also have a glossary, where we define causal terms that might not be as readily accessible to new users: F-nodes, c-components, Markov equivalence class, SCM
The text was updated successfully, but these errors were encountered:
We should have a user-guide with high-level sections dedicated to the following:
We should also have a glossary, where we define causal terms that might not be as readily accessible to new users: F-nodes, c-components, Markov equivalence class, SCM
The text was updated successfully, but these errors were encountered: