Package: PSweight
Type: Package
Title: Propensity Score Weighting for Causal Inference with
        Observational Studies and Randomized Trials
Version: 1.2.0
Date: 2024-03-27
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: 7.1.1
Suggests: knitr, rmarkdown
Imports: lme4, nnet, MASS, ggplot2, numDeriv, gbm, SuperLearner
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-22 10:42:10 UTC; root
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>
Config/pak/sysreqs: cmake make
Repository: https://thuizhou.r-universe.dev
Date/Publication: 2024-03-30 19:45:00 UTC
RemoteUrl: https://github.com/thuizhou/psweight
RemoteRef: HEAD
RemoteSha: 671f2a03b132ff9fd222de2a45c17a2a647e6505