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rdlearn  

Safe Policy Learning under Regression Discontinuity Design with Multiple Cutoffs
View on CRAN: Click here


Download and install rdlearn package within the R console
Install from CRAN:
install.packages("rdlearn")

Install from Github:
library("remotes")
install_github("cran/rdlearn")

Install by package version:
library("remotes")
install_version("rdlearn", "0.1.1")



Attach the package and use:
library("rdlearn")
Maintained by
Kentaro Kawato
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-29
Latest Update: 2025-01-29
Description:
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 guaranteedto 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.
How to cite:
Kentaro Kawato (2025). rdlearn: Safe Policy Learning under Regression Discontinuity Design with Multiple Cutoffs. R package version 0.1.1, https://cran.r-project.org/web/packages/rdlearn. Accessed 29 Aug. 2026.
Previous versions and publish date:
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Complete documentation for rdlearn
Functions, R codes and Examples using the rdlearn R package
Full rdlearn package functions and examples
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