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cff-version: 1.2.0
message: 'To cite package "wdsmatch" in publications use:'
type: software
license: GPL-3.0-only
title: 'wdsmatch: Weighted Double Score Matching for Survey-Weighted Causal Inference'
version: 0.1.1
doi: 10.32614/CRAN.package.wdsmatch
abstract: '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".'
authors:
- family-names: Zeng
  given-names: Yukang
  email: ykzeng2019@gmail.com
- family-names: Tong
  given-names: Guangyu
- family-names: Tong
  given-names: Jiaqi
- family-names: Lu
  given-names: Haidong
- family-names: Mukherjee
  given-names: Bhramar
- family-names: Li
  given-names: Fan
  email: fan.f.li@yale.edu
repository: https://ykzeng-yale.r-universe.dev
repository-code: https://github.com/ykzeng-yale/wdsmatch
commit: 5bf13a1ae3263592352a147ae2a2f4a328ba49ae
url: https://github.com/ykzeng-yale/wdsmatch
date-released: '2026-04-21'
contact:
- family-names: Zeng
  given-names: Yukang
  email: ykzeng2019@gmail.com