PSweight: Propensity Score Weighting for Causal Inference

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>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: nnet, MASS, ggplot2, numDeriv
Suggests: knitr, rmarkdown
Published: 2020-05-04
Author: Tianhui Zhou [aut, cre], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [ctb], Fan Li [ctb]
Maintainer: Tianhui Zhou <tianhui.zhou at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/thuizhou/PSweight
NeedsCompilation: no
CRAN checks: PSweight results

Downloads:

Reference manual: PSweight.pdf
Package source: PSweight_0.1.0.tar.gz
Windows binaries: r-devel: PSweight_0.1.0.zip, r-release: PSweight_0.1.0.zip, r-oldrel: PSweight_0.1.0.zip
macOS binaries: r-release: PSweight_0.1.0.tgz, r-oldrel: PSweight_0.1.0.tgz

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