PSweight: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials

Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: lme4, nnet, MASS, ggplot2, numDeriv, gbm, SuperLearner
Suggests: knitr, rmarkdown
Published: 2024-03-29
DOI: 10.32614/CRAN.package.PSweight
Author: Tianhui Zhou [aut], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut], Yukang Zeng [cre]
Maintainer: Yukang Zeng <yukang.zeng at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
In views: CausalInference
CRAN checks: PSweight results


Reference manual: PSweight.pdf
Vignettes: Software Vignette


Package source: PSweight_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PSweight_1.2.0.tgz, r-oldrel (arm64): PSweight_1.2.0.tgz, r-release (x86_64): PSweight_1.2.0.tgz, r-oldrel (x86_64): PSweight_1.2.0.tgz
Old sources: PSweight archive

Reverse dependencies:

Reverse imports: causal.decomp, RCTrep
Reverse suggests: lmw


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