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aGrUM 3.0.0
a C++ library for (probabilistic) graphical models
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FCI (Fast Causal Inference) causal discovery algorithm. More...
Go to the source code of this file.
Classes | |
| class | gum::learning::FCI |
| Fast Causal Inference — PAG learning via constraint-based methods. More... | |
Namespaces | |
| namespace | gum |
| gum is the global namespace for all aGrUM entities | |
| namespace | gum::learning |
| include the inlined functions if necessary | |
FCI (Fast Causal Inference) causal discovery algorithm.
FCI extends PC to handle latent confounders and selection bias. Output: a PAG (Partial Ancestral Graph) over observed variables.
aGrUM learning contract: every algorithm must be able to produce a BN. learnDAG() and learnPDAG() work via PAG→MixedGraph approximation. Users wanting the full PAG call learnPAG() directly.
Definition in file FCI.h.