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sreg  

Stratified Randomized Experiments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sreg", "1.0.1")



Attach the package and use:
library("sreg")
Maintained by
Juri Trifonov
[Scholar Profile | Author Map]
First Published: 2024-06-25
Latest Update: 2024-06-25
Description:
Estimate average treatment effects (ATEs) in stratified randomized experiments. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; and Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>.
How to cite:
Juri Trifonov (2024). sreg: Stratified Randomized Experiments. R package version 1.0.1, https://cran.r-project.org/web/packages/sreg. Accessed 17 Feb. 2025.
Previous versions and publish date:
1.0.0 (2024-06-25 16:30)
Other packages that cited sreg R package
View sreg citation profile
Other R packages that sreg depends, imports, suggests or enhances
Complete documentation for sreg
Functions, R codes and Examples using the sreg R package
Full sreg package functions and examples
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