https://ykzeng-yale.r-universe.devRecent package updates in ykzeng-yaleR-universehttps://github.com/ykzeng-yale.pnghttps://ykzeng-yale.r-universe.devTue, 21 Apr 2026 21:10:44 GMTykzeng2019@gmail.com (Yukang Zeng)Implements weighted double score matching (WDSM) for estimating population-level causal effects from complex survey data. Combines propensity scores and prognostic scores with survey design weights for matching, survey-weighted imputation within match sets, and Hajek normalization to target the population average treatment effect (PATE) and the population average treatment effect on the treated (PATT). Supports both retrospective (treatment-dependent) and prospective (treatment-independent) sampling designs. Achieves double robustness: consistent estimation when either the propensity score or prognostic score model is correctly specified. Provides polynomial sieve bias correction and linearization-based multinomial bootstrap variance estimation that preserves the survey-weighted matching structure without re-matching. Methods are described in Zeng, Tong, Tong, Lu, Mukherjee, and Li (2026, under review) "Where to weight? Estimating population causal effects with weighted double score matching in complex surveys".https://github.com/r-universe/ykzeng-yale/actions/runs/27900555777Tue, 21 Apr 2026 21:10:44 GMTwdsmatch0.1.1successhttps://ykzeng-yale.r-universe.devhttps://github.com/cran/wdsmatch