High-Performance Open-Source Archive
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 |
| Reference manual: | rdlearn.html , rdlearn.pdf |
| Vignettes: |
Replication by 'rdlearn' (source, R code) |
| Package source: | rdlearn_0.1.1.tar.gz |
| Windows binaries: | r-devel: rdlearn_0.1.1.zip, r-release: rdlearn_0.1.1.zip, r-oldrel: rdlearn_0.1.1.zip |
| macOS binaries: | r-release (arm64): rdlearn_0.1.1.tgz, r-oldrel (arm64): rdlearn_0.1.1.tgz, r-release (x86_64): rdlearn_0.1.1.tgz, r-oldrel (x86_64): rdlearn_0.1.1.tgz |
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