cascade.graph

Utilities for manipulating causal graphs

Functions

acyclify	Acyclify a directed graph by iteratively removing cycle-inducing edges with the lowest weights
annotate_explanation	Annotate counterfactual explanation to the causal graph
assemble_scaffolds	Assemble multiple scaffold graphs into a heterogeneous one given a specific node list
core_explanation_graph	Extract the core explanation graph from an annotated causal graph that explains the predicted change in a list of leaf nodes
demultiplex	Split one single graph into multiple graphs by demultiplexing an edge attribute
filter_edges	Filter graph by an edge attribute
map_edges	Map edge attribute by a function
marginalize	Marginalize a directed graph by keeping only a subset of observed nodes, optionally inferring indirect connections up to a maximal number of steps mediated by latent nodes.
multiplex	Combine multiple graphs into a single graph by multiplexing an edge attribute
multiplex_num	Get the number of multiplexed graphs according to an edge attribute
node_stats	Get node statistics of a graph
prep_cytoscape	Prepare a graph for visualization in Cytoscape