rbw: Residual Balancing Weights for Marginal Structural Models

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, rbwATE(), rbwMed(), and rbwPanel(), that produce residual balancing weights for estimating (a), (b), (c), respectively.

Version: 0.3.0
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 0.8.4), stats, rlang (≥ 0.4.4)
Suggests: knitr, ebal, survey, rmarkdown
Published: 2021-09-22
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
Materials: README NEWS
CRAN checks: rbw results

Downloads:

Reference manual: rbw.pdf
Package source: rbw_0.3.0.tar.gz
Windows binaries: r-devel: rbw_0.3.0.zip, r-release: rbw_0.3.0.zip, r-oldrel: rbw_0.2.0.zip
macOS binaries: r-release (arm64): rbw_0.2.0.tgz, r-release (x86_64): rbw_0.2.0.tgz, r-oldrel: rbw_0.2.0.tgz
Old sources: rbw archive

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