Package: PSweight
Type: Package
Title: Propensity Score Weighting for Causal Inference
Version: 0.1.1
Date: 2020-07-19
Authors@R: c(person("Tianhui","Zhou", role = c("aut", "cre"),
            email = "tianhui.zhou@duke.edu"),
            person("Guangyu", "Tong", role = "aut",
            email = "guangyu.tong@duke.edu"),
            person("Fan", "Li", role = "aut",
            email = "fan.f.li@yale.edu"),
            person("Laine", "Thomas", role = "ctb",
            email="laine.thomas@duke.edu"),
            person("Fan", "Li", role = "ctb",
            email="fl35@duke.edu"))
Maintainer: Tianhui Zhou <tianhui.zhou@duke.edu>
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects among target populations with binary and multiple treatments using the methods developed 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: 7.1.0
Suggests: knitr, rmarkdown
Imports: nnet, MASS, ggplot2, numDeriv
NeedsCompilation: no
Packaged: 2020-07-19 21:29:25 UTC; tz
Author: Tianhui Zhou [aut, cre],
  Guangyu Tong [aut],
  Fan Li [aut],
  Laine Thomas [ctb],
  Fan Li [ctb]
Repository: CRAN
Date/Publication: 2020-07-19 21:50:02 UTC
