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RCT2: Designing and Analyzing Two-Stage Randomized Experiments

Provides various statistical methods for designing and analyzing two-stage randomized controlled trials using the methods developed by Imai, Jiang, and Malani (2021) <doi:10.1080/01621459.2020.1775612> and (2022+) <doi:10.48550/arXiv.2011.07677>. The package enables the estimation of direct and spillover effects, conduct hypotheses tests, and conduct sample size calculation for two-stage randomized controlled trials.

Version: 0.0.1
Depends: R (≥ 3.1.0)
Imports: sandwich, AER, stats, quadprog
Suggests: testthat, knitr, rmarkdown
Published: 2022-10-18
DOI: 10.32614/CRAN.package.RCT2
Author: Karissa Huang [aut], Zhichao Jiang [aut], Kosuke Imai [aut, cre]
Maintainer: Kosuke Imai <imai at harvard.edu>
BugReports: https://github.com/kosukeimai/RCT2/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/kosukeimai/RCT2
NeedsCompilation: no
Materials: README
CRAN checks: RCT2 results

Documentation:

Reference manual: RCT2.pdf
Vignettes: interference_vignette
Causal Inference with Inteference

Downloads:

Package source: RCT2_0.0.1.tar.gz
Windows binaries: r-devel: RCT2_0.0.1.zip, r-release: RCT2_0.0.1.zip, r-oldrel: RCT2_0.0.1.zip
macOS binaries: r-release (arm64): RCT2_0.0.1.tgz, r-oldrel (arm64): RCT2_0.0.1.tgz, r-release (x86_64): RCT2_0.0.1.tgz, r-oldrel (x86_64): RCT2_0.0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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