The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.

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

Documentation:

Reference manual: experiment.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=experiment to link to this page.

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.