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.


Reference manual

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1.2.0 by Kosuke Imai, 2 years ago


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] , Michael Li [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