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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.
| Version: | 1.2.1 |
| Depends: | boot, MASS, R (≥ 2.4.0) |
| Published: | 2022-04-12 |
| DOI: | 10.32614/CRAN.package.experiment |
| Author: | Kosuke Imai [aut, cre], Zhichao Jiang [aut] |
| Maintainer: | Kosuke Imai <imai at harvard.edu> |
| BugReports: | https://github.com/kosukeimai/experiment/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/kosukeimai/experiment |
| NeedsCompilation: | yes |
| In views: | CausalInference, ClinicalTrials, ExperimentalDesign, MissingData |
| CRAN checks: | experiment results |
| Reference manual: | experiment.pdf |
| Package source: | experiment_1.2.1.tar.gz |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.