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: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | nnet, MASS, ggplot2, numDeriv |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-07-19 |
| 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 |
| Reference manual: | PSweight.pdf |
| Package source: | PSweight_0.1.1.tar.gz |
| Windows binaries: | r-devel: PSweight_0.1.1.zip, r-release: PSweight_0.1.1.zip, r-oldrel: PSweight_0.1.1.zip |
| macOS binaries: | r-release: PSweight_0.1.1.tgz, r-oldrel: PSweight_0.1.1.tgz |
| Old sources: | PSweight archive |
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