rdpower: Power, Sample Size, and Minimum Detectable Effect Calculations for RD Designs

The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdpower' package provides tools to perform power, sample size, and minimum detectable effect calculations in RD designs: rdpower() calculates the power of an RD design, rdsampsi() calculates the required sample size to achieve a desired power, and rdmde() calculates minimum detectable effects. See Cattaneo, Titiunik and Vazquez-Bare (2019) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2019_Stata.pdf> for further methodological details.

Version: 3.0
Depends: R (≥ 3.6.0)
Imports: rdrobust (≥ 4.0.0)
Published: 2026-05-17
DOI: 10.32614/CRAN.package.rdpower
Author: Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Gonzalo Vazquez-Bare [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo at gmail.com>
BugReports: https://github.com/rdpackages/rdpower/issues
License: GPL-3
URL: https://github.com/rdpackages/rdpower
NeedsCompilation: no
In views: Econometrics
CRAN checks: rdpower results

Documentation:

Reference manual: rdpower.html , rdpower.pdf

Downloads:

Package source: rdpower_3.0.tar.gz
Windows binaries: r-devel: rdpower_2.3.zip, r-release: rdpower_3.0.zip, r-oldrel: rdpower_2.3.zip
macOS binaries: r-release (arm64): rdpower_3.0.tgz, r-oldrel (arm64): rdpower_3.0.tgz, r-release (x86_64): rdpower_3.0.tgz, r-oldrel (x86_64): rdpower_3.0.tgz
Old sources: rdpower archive

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