R Package for Designing and Analyzing Randomized Experiments R package experiment version 1.2.1 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) CRAN Task View: ExperimentalDesign (https://CRAN.R-project.org/view=ExperimentalDesign) CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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. Software Depends: boot, MASS, R (>= 2.4.0) Kosuke Imai <imai@harvard.edu> Comprehensive R Archive Network (CRAN) Kosuke Imai [aut, cre], Zhichao Jiang [aut] GPL (>= 2) 2022-04-12 application/tgz https://CRAN.R-project.org/package=experiment doi:10.32614/CRAN.package.experiment