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, 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
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

Documentation:

Reference manual:	rbw.pdf
Vignettes:	rbw: An R package for Constructing Residual BalancingWeights

Downloads:

Package source:	rbw_0.3.2.tar.gz
Windows binaries:	r-devel: rbw_0.3.2.zip, r-release: rbw_0.3.2.zip, r-oldrel: rbw_0.3.2.zip
macOS binaries:	r-release (arm64): rbw_0.3.2.tgz, r-oldrel (arm64): rbw_0.3.2.tgz, r-release (x86_64): rbw_0.3.2.tgz, r-oldrel (x86_64): rbw_0.3.2.tgz
Old sources:	rbw archive

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