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Ricrt  

Randomization Inference of Clustered Randomized Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Ricrt", "0.1.0")



Attach the package and use:
library("Ricrt")
Maintained by
Yang Dong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-22
Latest Update: 2023-02-22
Description:
Methods for randomization inference in group-randomized trials. Specifically, it can be used to analyze the treatment effect of stratified data with multiple clusters in each stratum with treatment given on cluster level. User may also input as many covariates as they want to fit the data. Methods are described by Dylan S Small et al., (2012) .
How to cite:
Yang Dong (2023). Ricrt: Randomization Inference of Clustered Randomized Trials. R package version 0.1.0, https://cran.r-project.org/web/packages/Ricrt. Accessed 24 Oct. 2026.
Previous versions and publish date:
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View Ricrt citation profile
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Complete documentation for Ricrt
Functions, R codes and Examples using the Ricrt R package
Full Ricrt package functions and examples
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