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PSweight  

Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PSweight", "2.1.1")



Attach the package and use:
library("PSweight")
Maintained by
Yukang Zeng
[Scholar Profile | Author Map]
First Published: 2020-05-04
Latest Update: 2022-10-18
Description:
Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) and Li and Li (2019) .
How to cite:
Yukang Zeng (2020). PSweight: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials. R package version 2.1.1, https://cran.r-project.org/web/packages/PSweight. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2020-05-04 16:50), 0.1.1 (2020-07-19 23:50), 1.1.0 (2020-09-15 19:10), 1.1.1 (2020-10-02 06:22), 1.1.2 (2020-10-05 15:30), 1.1.3 (2021-02-25 11:30), 1.1.4 (2021-04-02 00:00), 1.1.5 (2021-10-28 15:50), 1.1.6 (2021-12-02 10:00), 1.1.7 (2022-05-11 14:30), 1.1.8 (2022-10-18 06:55), 1.2.0 (2024-03-29 23:40), 2.1.0 (2025-02-12 23:20)
Other packages that cited PSweight R package
View PSweight citation profile
Other R packages that PSweight depends, imports, suggests or enhances
Complete documentation for PSweight
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