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kosukeimai
experiment: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.
Maintained by Kosuke Imai. Last updated 3 years ago.
14 stars 5.29 score 23 scriptskosukeimai
RCT2:Designing and Analyzing Two-Stage Randomized Experiments
Provides various statistical methods for designing and analyzing two-stage randomized controlled trials using the methods developed by Imai, Jiang, and Malani (2021) <doi:10.1080/01621459.2020.1775612> and (2022+) <doi:10.48550/arXiv.2011.07677>. The package enables the estimation of direct and spillover effects, conduct hypotheses tests, and conduct sample size calculation for two-stage randomized controlled trials.
Maintained by Kosuke Imai. Last updated 2 years ago.
5 stars 4.70 score 4 scripts