rdlocrand: Local Randomization Methods for RD Designs

Provides tools to perform randomization inference for RD designs under local randomization: rdrandinf() to perform hypothesis testing using randomization inference, rdwinselect() to select a window around the cutoff in which randomization is likely to hold, rdsensitivity() to assess the sensitivity of the results to different window lengths and null hypotheses and rdrbounds() to construct Rosenbaum bounds for sensitivity to unobserved confounders. See Cattaneo, Titiunik and Vazquez-Bare (2016) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2016_Stata.pdf> for further methodological details, and references.

Package details

AuthorMatias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Gonzalo Vazquez-Bare [aut]
MaintainerMatias D. Cattaneo <matias.d.cattaneo@gmail.com>
LicenseGPL-3
Version2.0
URL https://rdpackages.github.io/ https://github.com/rdpackages/rdlocrand
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rdlocrand")

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rdlocrand documentation built on May 14, 2026, 5:10 p.m.