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rbw  

Residual Balancing Weights for Marginal Structural Models
View on CRAN: Click here


Download and install rbw package within the R console
Install from CRAN:
install.packages("rbw")

Install from Github:
library("remotes")
install_github("cran/rbw")

Install by package version:
library("remotes")
install_version("rbw", "0.3.2")



Attach the package and use:
library("rbw")
Maintained by
Xiang Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-15
Latest Update: 2022-03-01
Description:
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.
How to cite:
Xiang Zhou (2020). rbw: Residual Balancing Weights for Marginal Structural Models. R package version 0.3.2, https://cran.r-project.org/web/packages/rbw
Previous versions and publish date:
0.2.0 (2020-04-15 13:00), 0.3.0 (2021-09-23 00:00), 0.3.1 (2022-02-28 00:10)
Other packages that cited rbw R package
View rbw citation profile
Other R packages that rbw depends, imports, suggests or enhances
Functions, R codes and Examples using the rbw R package
Some associated functions: advertisement . campaign_long . campaign_wide . eb2 . peace . rbwMed . rbwPanel . rbwPoint . 
Some associated R codes: data.R . eb2.R . rbwMed.R . rbwPanel.R . rbwPoint.R . utils.R .  Full rbw package functions and examples
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