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wdsmatch: Weighted Double Score Matching for Survey-Weighted Causal Inference

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. Uses propensity probabilities and arm-specific prognostic scores for matching, with a complete quadratic bias correction in each arm's double score. Provides linearization-based multinomial replication variance estimates and centered normal Wald confidence intervals, retaining the original matching reuse coefficients without re-matching. Supplied scores can be held fixed for inference conditional on those scores. This weight-only interface does not encode survey strata, clusters, or design-specific replicate weights.

Version: 0.2.1
Depends: R (≥ 3.6.0)
Imports: stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-09-20
DOI: 10.32614/CRAN.package.wdsmatch
Author: Yukang Zeng [aut, cre], Guangyu Tong [aut], Jiaqi Tong [aut], Haidong Lu [aut], Bhramar Mukherjee [aut], Fan Li [aut]
Maintainer: Yukang Zeng <ykzeng2019 at gmail.com>
License: GPL-3
URL: https://cran.r-project.org/package=wdsmatch
NeedsCompilation: no
Materials: NEWS
CRAN checks: wdsmatch results

Documentation:

Reference manual: wdsmatch.html , wdsmatch.pdf

Downloads:

Package source: wdsmatch_0.2.1.tar.gz
Windows binaries: r-devel: wdsmatch_0.2.1.zip, r-release: wdsmatch_0.2.0.zip, r-oldrel: wdsmatch_0.2.1.zip
macOS binaries: r-release (arm64): wdsmatch_0.2.1.tgz, r-oldrel (arm64): wdsmatch_0.2.1.tgz, r-release (x86_64): wdsmatch_0.2.1.tgz, r-oldrel (x86_64): wdsmatch_0.2.1.tgz
Old sources: wdsmatch archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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