experiment: R Package for Designing and Analyzing Randomized Experiments

Provides various statistical methods for designing and analyzing randomized experiments. One main 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: 1.1-3
Depends: boot, MASS, R (≥ 2.4.0)
Published: 2018-04-19
Author: Kosuke Imai [aut, cre], Zhichao Jiang [aut]
Maintainer: Kosuke Imai <kimai at princeton.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://imai.princeton.edu/software/experiment.html
NeedsCompilation: yes
In views: ClinicalTrials, ExperimentalDesign
CRAN checks: experiment results


Reference manual: experiment.pdf
Package source: experiment_1.1-3.tar.gz
Windows binaries: r-prerel: experiment_1.1-3.zip, r-release: experiment_1.1-3.zip, r-oldrel: experiment_1.1-3.zip
OS X binaries: r-prerel: experiment_1.1-3.tgz, r-release: experiment_1.1-3.tgz
Old sources: experiment archive


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