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: 1.2.0
Depends: boot, MASS, R (≥ 2.4.0)
Published: 2019-08-05
Author: Kosuke Imai [aut, cre], Zhichao Jiang [aut], Michael Li [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: ClinicalTrials, ExperimentalDesign, MissingData
CRAN checks: experiment results

Downloads:

Reference manual: experiment.pdf
Package source: experiment_1.2.0.tar.gz
Windows binaries: r-devel: experiment_1.2.0.zip, r-release: experiment_1.2.0.zip, r-oldrel: experiment_1.2.0.zip
OS X binaries: r-release: experiment_1.2.0.tgz, r-oldrel: experiment_1.2.0.tgz
Old sources: experiment archive

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