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experiment  

R Package for Designing and Analyzing Randomized Experiments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("experiment", "1.2.1")



Attach the package and use:
library("experiment")
Maintained by
Kosuke Imai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-06-22
Latest Update: 2022-04-12
Description:
Provides various statistical methods for designing and analyzing randomized experiments. One functionality of the package is the implementation of randomized-block and matched-pair designs based on possibly multivariate pre-treatment covariates. The package also provides the tools to analyze various randomized experiments including cluster randomized experiments, two-stage randomized experiments, randomized experiments with noncompliance, and randomized experiments with missing data.
How to cite:
Kosuke Imai (2007). experiment: R Package for Designing and Analyzing Randomized Experiments. R package version 1.2.1, https://cran.r-project.org/web/packages/experiment. Accessed 27 Jun. 2026.
Previous versions and publish date:
1.0-0 (2007-06-22 11:51), 1.1-0 (2007-07-24 15:33), 1.1-1 (2013-03-29 08:00), 1.1-2 (2018-01-18 17:48), 1.1-3 (2018-04-19 22:03), 1.1-4 (2018-04-30 17:08), 1.2.0 (2019-08-05 19:00)
Other packages that cited experiment R package
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Complete documentation for experiment
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