Estimation and Inference for Boundary Discontinuity Designs R package rd2d version 1.0.0 Provides pointwise and uniform estimation and inference methods for boundary discontinuity (BD) designs, a causal inference design that generalizes univariate regression discontinuity (RD) designs to settings with bivariate scores. Implements local polynomial methods for location-based and distance-based analyses, including sharp and fuzzy designs, data-driven bandwidth selection, pointwise confidence intervals, and uniform confidence bands. Methodology is developed in Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2505.05670> for location-based methods and Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2510.26051> for distance-based methods. For an overview and empirical guidance, see Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2511.06474>. The companion software article is Cattaneo, Titiunik, and Yu (2025) <doi:10.48550/arXiv.2505.07989>. Software Imports: MASS, expm, ggplot2 Suggests: testthat (>= 3.0.0) Matias D. Cattaneo <matias.d.cattaneo@gmail.com> Comprehensive R Archive Network (CRAN) Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Ruiqi Rae Yu [aut] GPL-3 2026-05-28 application/tgz https://CRAN.R-project.org/package=rd2d doi:10.32614/CRAN.package.rd2d