R Package for Designing and Analyzing Randomized Experiments

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.


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Reference manual

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install.packages("experiment")

1.1-4 by Kosuke Imai, 10 months ago


https://github.com/kosukeimai/experiment


Report a bug at https://github.com/kosukeimai/experiment/issues


Browse source code at https://github.com/cran/experiment


Authors: Kosuke Imai [aut, cre] , Zhichao Jiang [aut]


Documentation:   PDF Manual  


Task views: Clinical Trial Design, Monitoring, and Analysis, Design of Experiments (DoE) & Analysis of Experimental Data, Missing Data


GPL (>= 2) license


Depends on boot, MASS


See at CRAN