Package: PSweight
Type: Package
Title: Propensity Score Weighting for Causal Inference with
        Observational Studies and Randomized Trials
Version: 2.1.2
Date: 2025-07-22
Authors@R: c(person("Tianhui","Zhou", role = "aut",
            email = "thuizhou@outlook.com"),
            person("Guangyu", "Tong", role = "aut",
            email = "guangyu.tong@yale.edu"),
            person("Fan", "Li", role = "aut",
            email="fl35@duke.edu"),
            person("Laine", "Thomas", role = "aut",
            email="laine.thomas@duke.edu"),
            person("Fan", "Li", role = "aut",
            email = "fan.f.li@yale.edu"), 
            person("Yukang", "Zeng", role = "cre", 
            email = "yukang.zeng@yale.edu"))
Description: 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>.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
URL: https://github.com/thuizhou/PSweight
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, R.rsp
Imports: lme4, nnet, MASS, ggplot2, numDeriv, gbm, SuperLearner, survey
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2025-07-22 21:29:37 UTC; yukang
Author: Tianhui Zhou [aut],
  Guangyu Tong [aut],
  Fan Li [aut],
  Laine Thomas [aut],
  Fan Li [aut],
  Yukang Zeng [cre]
Maintainer: Yukang Zeng <yukang.zeng@yale.edu>
Repository: CRAN
Date/Publication: 2025-07-22 22:00:43 UTC
Built: R 4.4.1; ; 2025-07-22 22:19:43 UTC; unix
