Package: rdlearn
Type: Package
Title: Safe Policy Learning under Regression Discontinuity Design with
        Multiple Cutoffs
Version: 0.1.1
Authors@R: 
    c(person(given = "Kentaro",
           family = "Kawato",
           role = c("cre","cph"),
           email = "kentaro1358nohe@gmail.com"),
      person(given = "Yi",
           family = "Zhang",
           role = c("aut")),
      person(given = "Soichiro",
           family = "Yamauchi",
           role = c("aut")),
      person(given = "Eli",
           family = "Ben-Michael",
           role = c("aut")),
      person(given = "Kosuke",
           family = "Imai",
           role = c("aut")))
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 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
URL: https://github.com/kkawato/rdlearn
BugReports: https://github.com/kkawato/rdlearn/issues
Imports: nprobust, nnet, rdrobust, ggplot2, dplyr, glue, cli
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-26 04:18:09 UTC; kawatokentaryuu
Author: Kentaro Kawato [cre, cph],
  Yi Zhang [aut],
  Soichiro Yamauchi [aut],
  Eli Ben-Michael [aut],
  Kosuke Imai [aut]
Maintainer: Kentaro Kawato <kentaro1358nohe@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-29 18:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 14:45:26 UTC; unix
