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wdsmatch
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Download and install wdsmatch package within the R console
Install from CRAN:
install.packages("wdsmatch")
Install from Github:
library("remotes")
install_github("cran/wdsmatch") Install by package version:
library("remotes")
install_version("wdsmatch", "0.2.1") Attach the package and use:
library("wdsmatch")
Maintained by
Yukang Zeng
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[Scholar Profile | Author Map]
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First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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".
How to cite:
Yukang Zeng (2026). wdsmatch: Weighted Double Score Matching for Survey-Weighted Causal Inference. R package version 0.2.1, https://cran.r-project.org/web/packages/wdsmatch. Accessed 24 Oct. 2026.
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