rbw: Residual Balancing Weights for Marginal Structural Models (original) (raw)
Residual balancing is a robust method of constructing weights for marginal structural models, which can be used to estimate (a) the average treatment effect in a cross-sectional observational study, (b) controlled direct/mediator effects in causal mediation analysis, and (c) the effects of time-varying treatments in panel data (Zhou and Wodtke 2020 <doi:10.1017/pan.2020.2>). This package provides three functions, rbwPoint(), rbwMed(), and rbwPanel(), that produce residual balancing weights for estimating (a), (b), (c), respectively.
| Version: | 0.3.2 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr (≥ 0.8.4), stats, rlang (≥ 0.4.4) |
| Suggests: | ebal, knitr, survey, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2022-03-01 |
| DOI: | 10.32614/CRAN.package.rbw |
| Author: | Xiang Zhou [cre], Derick da Silva Baum [aut] |
| Maintainer: | Xiang Zhou <xiang_zhou at fas.harvard.edu> |
| BugReports: | https://github.com/xiangzhou09/rbw |
| License: | GPL (≥ 3) |
| URL: | https://github.com/xiangzhou09/rbw |
| NeedsCompilation: | no |
| Citation: | rbw citation info |
| Materials: | README NEWS |
| CRAN checks: | rbw results |
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