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

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