## QC Phase 3: Core Statistical Methods Core estimators. QC for numerical correctness, edge cases, and agreement with known/published results. - [ ] `EC_IPW_OPT()` — IPW with optimal weighting - [ ] `EC_AIPW_OPT()` — AIPW with optimal weighting - [ ] `DID_EC_IPW()` — DID with inverse probability weighting - [ ] `DID_EC_AIPW()` — DID with augmented IPW - [ ] `DID_EC_OR()` — DID with outcome regression - [ ] `SCM()` — Structural causal model - [ ] `lambdacv()` — cross-validation for SCM lambda selection
QC Phase 3: Core Statistical Methods
Core estimators. QC for numerical correctness, edge cases, and agreement with known/published results.
EC_IPW_OPT()— IPW with optimal weightingEC_AIPW_OPT()— AIPW with optimal weightingDID_EC_IPW()— DID with inverse probability weightingDID_EC_AIPW()— DID with augmented IPWDID_EC_OR()— DID with outcome regressionSCM()— Structural causal modellambdacv()— cross-validation for SCM lambda selection