R Observatory: Metrics for rdlearn version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rdlearn

0.1.1Package record

Safe Policy Learning under Regression Discontinuity Design with Multiple Cutoffs

0packages depend

2Kdownloads / year

94.2%test coverage

13/13flavors OK

Overview

About

Maintained by Kentaro KawatoCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.1.1

Initial CRAN submission.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("rdlearn", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("kkawato/rdlearn")

Development version from kkawato/rdlearn. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rdlearn

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-rdlearn

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-rdlearn

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 770 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9 (1 internal)includes a package overview page
Examples that run: 100%6 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 44%

Vignettes (1)

Replication by `rdlearn` HTML

How these are measured

Downloads

2K

CRAN downloads in the past year

Rank #23,051 · ~6/day · ~169/mo

Releases R versions

Daily download trend is not available in this view yet.

23130 days

56690 days

2K1 year

Compare downloads with other packages →

Also on66 r2u2 autocran

How downloads are counted

Repository

kkawato/rdlearn ↗Account: kkawato

1Stars

0Forks

2Open issues

0Open PRs

0Releases

134Commits

3Commit identities

134 commits · Last activity 2025-02-21

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 222
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-02-18 · 12026-07-07 · 1

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/kkawato/rdlearn on 2026-10-18.

Docs source (1)

README.Rmd

Reproducibility and dev environment (2)

data-raw/Dev Container

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing rdlearn adds 27 packages (12 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (1)

R >= 3.5.0

Imports (7)

nprobustnnetrdrobust ggplot2 dplyr glue cli

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Author

Author

Author

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.1Latest
record
2025-01-29 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-01-29
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 37 KB / 3 files
Download size: 363 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rdlearn")

Format

Kawato, K., Ben-Michael, E., Imai, K., Yamauchi, S., & Zhang, Y. (2025). rdlearn: Safe Policy Learning under Regression Discontinuity Design with Multiple Cutoffs (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.rdlearn

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rdlearn version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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