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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "rdlearn" in publications use:'
type: software
license: MIT
title: 'rdlearn: Safe Policy Learning under Regression Discontinuity Design with Multiple
  Cutoffs'
version: 0.1.1
doi: 10.32614/CRAN.package.rdlearn
abstract: Implements safe policy learning under regression discontinuity designs with
  multiple cutoffs, based on Zhang et al. (2022) <https://doi.org/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.
authors:
- family-names: Kawato
  given-names: Kentaro
  email: kentaro1358nohe@gmail.com
- family-names: Zhang
  given-names: Yi
- family-names: Yamauchi
  given-names: Soichiro
- family-names: Ben-Michael
  given-names: Eli
- family-names: Imai
  given-names: Kosuke
repository: https://kkawato.r-universe.dev
repository-code: https://github.com/kkawato/rdlearn
commit: 98b1e257a771215f547a5bd85abbb0a972b0ec3c
url: https://github.com/kkawato/rdlearn
date-released: '2025-02-21'
contact:
- family-names: Kawato
  given-names: Kentaro
  email: kentaro1358nohe@gmail.com