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Is your feature request related to a problem? Please describe.
They should be under pywhy_graphs.generators.*, where each function corresponds to some graph that is generated.
Describe the solution you'd like
The following graphs are very standard in causal inference:
napkin graph
bow graph
iv graph
front door graph
back door graph
These can be implemented using the ADMG class.
An example pseudocode would be:
def napkin_graph():
# implementation
Note this differs from networkx-API for generators, because there is no concept of a create_using. Since these are causal graphs with mixed-edges, they would always use a MixedEdgeGraph class.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
They should be under
pywhy_graphs.generators.*
, where each function corresponds to some graph that is generated.Describe the solution you'd like
The following graphs are very standard in causal inference:
These can be implemented using the
ADMG
class.An example pseudocode would be:
Note this differs from networkx-API for generators, because there is no concept of a
create_using
. Since these are causal graphs with mixed-edges, they would always use aMixedEdgeGraph
class.The text was updated successfully, but these errors were encountered: