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experiment (version 1.0-0)

experiment: R package for designing and analyzing randomized experiments

Description

The package 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, randomized experiments with noncompliance, and randomized experiments with missing data.

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Version

Install

install.packages('experiment')

Monthly Downloads

367

Version

1.0-0

License

GPL (version 2 or later)

Maintainer

Kosuke Imai

Last Published

April 12th, 2022

Functions in experiment (1.0-0)

NoncompLI

Bayesian Analysis of Randomized Experiments with Noncompliance and Missing Outcomes Under the Assumption of Latent Ignorability
randomize

Randomization of the Treatment Assignment for Conducting Experiments
ATEbounds

Bounding the Average Treatment Effect when the Outcome Data are Missing
ATEnocov

Estimation of the Average Treatment Effect in Randomized Experiments