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experiment
View on CRAN: Click
here
Download and install experiment package within the R console
Install from CRAN:
install.packages("experiment")
Install from Github:
library("remotes")
install_github("cran/experiment") Install by package version:
library("remotes")
install_version("experiment", "1.2.1") Attach the package and use:
library("experiment")
Maintained by
Kosuke Imai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-06-22
Latest Update: 2022-04-12
Description:
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.
How to cite:
Kosuke Imai (2007). experiment: R Package for Designing and Analyzing Randomized Experiments. R package version 1.2.1, https://cran.r-project.org/web/packages/experiment. Accessed 27 Jun. 2026.
Previous versions and publish date:
Other packages that cited experiment R package
View experiment citation profile
Other R packages that experiment depends,
imports, suggests or enhances
Complete documentation for experiment
Functions, R codes and Examples using
the experiment R package
Some associated functions: ATEbounds . ATEcluster . ATEnocov . ATOPnoassumption . ATOPobs . ATOPsens . AUPEC . CACEcluster . CADErand . CADEreg . NoncompLI . PAPD . PAPE . randomize . seguro .
Some associated R codes: ATEbounds.R . ATEcluster.R . ATEnocov.R . ATOPbasic.R . ATOPnoassumption.R . ATOPobs.R . ATOPsens.R . AUPEC.R . CACEcluster.R . CACEcov.R . CACEnocov.R . CADEbasic.R . CADErand.R . CADEreg.R . MARnocov.R . NIbprobit.R . NInocov.R . Noncomp.mom.R . NoncompLI.R . NoncompMAR.R . PAPD.R . PAPE.R . Seguro.R . boundsCI.R . onAttach.R . print.randomize.R . print.summary.NoncompMAR.R . randomize.R . summary.NoncompMAR.R . weighted.var.R . Full experiment package functions and examples
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