Exploring causal inference, network dynamics, and the science of cause and effect in biomedicine
What changes when causal discovery methods stop assuming away cycles? A look at three cyclic methods — CCD, FCI, and CCI — and the shift from one neat graph to equivalence classes.
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An R package that helps you take an undirected network and explore all the possible directed versions that could fit it, bridging the gap between connectivity and causality.
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