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.
|Depends:||boot, MASS, R (≥ 2.4.0)|
|Author:||Kosuke Imai [aut, cre], Zhichao Jiang [aut]|
|Maintainer:||Kosuke Imai <imai at harvard.edu>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|In views:||CausalInference, ClinicalTrials, ExperimentalDesign, MissingData|
|CRAN checks:||experiment results|
|Windows binaries:||r-devel: experiment_1.2.1.zip, r-release: experiment_1.2.1.zip, r-oldrel: experiment_1.2.1.zip|
|macOS binaries:||r-release (arm64): experiment_1.2.1.tgz, r-oldrel (arm64): experiment_1.2.1.tgz, r-release (x86_64): experiment_1.2.1.tgz, r-oldrel (x86_64): experiment_1.2.1.tgz|
|Old sources:||experiment archive|
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