Expand description
Causal and counterfactual data generation.
Implements Structural Causal Models (SCMs) for:
- Defining causal graphs with typed variables and mechanisms
- Generating data respecting causal structure
- do-calculus interventions (do(X=x))
- Counterfactual “what-if” scenarios
Re-exports§
pub use counterfactual::*;pub use graph::*;pub use intervention::*;pub use scm::*;pub use validation::*;
Modules§
- counterfactual
- Counterfactual reasoning via abduction-action-prediction.
- graph
- intervention
- Intervention engine for causal inference using do-calculus.
- scm
- validation
- Causal structure validation.