科学计算
Causal Inference Advisor
Guide causal inference from observational or quasi-experimental data. Activate when the user wants to estimate a causal effect, choose between causal methods (DiD, synthetic control, RDD, IV, matching, IPW), construct a DAG, test causal assumptions, run refutation tests, or estimate heterogeneous treatment effects. Covers the full identify-estimate-refute pipeline using DoWhy, EconML, and CausalML.