Power, Sample Size, and Minimum Detectable Effect Calculations for RD Designs R package rdpower version 3.0 CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) 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. Software Depends: R (>= 3.6.0) Imports: rdrobust (>= 4.0.0) Matias D. Cattaneo <matias.d.cattaneo@gmail.com> Comprehensive R Archive Network (CRAN) Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Gonzalo Vazquez-Bare [aut] GPL-3 2026-05-17 application/tgz https://CRAN.R-project.org/package=rdpower doi:10.32614/CRAN.package.rdpower