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experiment (version 1.1-1)

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

1.1-1

License

GPL (>= 2)

Maintainer

Kosuke Imai

Last Published

March 29th, 2013

Functions in experiment (1.1-1)

randomize

Randomization of the Treatment Assignment for Conducting Experiments
ATEbounds

Bounding the Average Treatment Effect when some of the Outcome Data are Missing
CACEcluster

Estimation of the Complier Average Causal Effects in Cluster-Randomized Experiments with Unit-level Noncompliance
ATEnocov

Estimation of the Average Treatment Effect in Randomized Experiments
NoncompLI

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

Estimation of the Average Treatment Effects in Cluster-Randomized Experiments