Implements safe policy learning under regression discontinuity designs with multiple cutoffs, based on Zhang et al. (2022) <doi:10.48550/arXiv.2208.13323>. The learned cutoffs are guaranteed to perform no worse than the existing cutoffs in terms of overall outcomes. The 'rdlearn' package also includes features for visualizing the learned cutoffs relative to the baseline and conducting sensitivity analyses.
Version: 0.1.1 Depends: R (≥ 3.5.0) Imports: nprobust, nnet, rdrobust, ggplot2, dplyr, glue, cli Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-01-29 DOI: 10.32614/CRAN.package.rdlearn Author: Kentaro Kawato [cre, cph], Yi Zhang [aut], Soichiro Yamauchi [aut], Eli Ben-Michael [aut], Kosuke Imai [aut] Maintainer: Kentaro Kawato <kentaro1358nohe at gmail.com> BugReports: https://github.com/kkawato/rdlearn/issues License: MIT + file LICENSE URL: https://github.com/kkawato/rdlearn NeedsCompilation: no Materials: README NEWS CRAN checks: rdlearn results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rdlearn to link to this page.
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