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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 ). 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. Accessed 21 Nov. 2024.
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
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Other R packages that rbw depends, imports, suggests or enhances
Complete documentation for rbw
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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