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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.2 |
rolling linux/jammy R-4.5 | rbw_0.3.2.tar.gz |
1.2 MiB |
0.3.2 |
rolling linux/noble R-4.5 | rbw_0.3.2.tar.gz |
1.2 MiB |
0.3.2 |
rolling source/ R- | rbw_0.3.2.tar.gz |
1.3 MiB |
0.3.2 |
latest linux/jammy R-4.5 | rbw_0.3.2.tar.gz |
1.2 MiB |
0.3.2 |
latest linux/noble R-4.5 | rbw_0.3.2.tar.gz |
1.2 MiB |
0.3.2 |
latest source/ R- | rbw_0.3.2.tar.gz |
1.3 MiB |
0.3.2 |
2026-04-26 source/ R- | rbw_0.3.2.tar.gz |
1.3 MiB |
0.3.2 |
2026-04-23 source/ R- | rbw_0.3.2.tar.gz |
1.3 MiB |
0.3.2 |
2026-04-09 windows/windows R-4.5 | rbw_0.3.2.zip |
1.2 MiB |
0.3.2 |
2025-04-20 source/ R- | rbw_0.3.2.tar.gz |
1.3 MiB |