causal-inference-engine

# Causal Inference Engine ## Purpose Provides causal reasoning capabilities implementing DAG construction, do-calculus, and intervention effect estimation. ## Capabilities - Causal DAG construction and validation - Backdoor/frontdoor criterion checking - Average treatment effect estimation - Instrumental variable analysis - Mediation analysis - Sensitivity analysis for unmeasured confounding ## Usage Guidelines 1. **DAG Construction**: Build causal graphs from domain knowledge 2. **Identification**: Check if effects are identifiable 3. **Estimation**: Apply appropriate estimation methods 4. **Sensitivity**: Assess robustness to unmeasured confounding ## Tools/Libraries - DoWhy - CausalNex - pgmpy - EconML