R Observatory: Metrics for RARtrials version 0.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RARtrials

0.0.2

Response-Adaptive Randomization in Clinical Trials

0packages depend

2Kdownloads / year

0.0%test coverage

13/13checks pass

Overview

About

Maintained by Chuyao XuFirst published 2024-06-042 releasesCRAN page ↗GitHub ↗

Some response-adaptive randomization methods commonly found in literature are included in this package. These methods include the randomized play-the-winner rule for binary endpoint (Wei and Durham (1978) doi:10.2307/2286290), the doubly adaptive biased coin design with minimal variance strategy for binary endpoint (Atkinson and Biswas (2013) doi:10.1201/b16101, Rosenberger and Lachin (2015) doi:10.1002/9781118742112) and maximal power strategy targeting Neyman allocation for binary endpoint (Tymofyeyev, Rosenberger, and Hu (2007) doi:10.1198/016214506000000906) and RSIHR allocation with each letter representing the first character of the names of the individuals who first proposed this rule (Youngsook and Hu (2010) doi:10.1198/sbr.2009.0056, Bello and Sabo (2016) doi:10.1080/00949655.2015.1114116), A-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013) doi:10.1080/15598608.2013.783726), Aa-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013) doi:10.1080/15598608.2013.783726), generalized RSIHR allocation for continuous endpoint (Atkinson and Biswas (2013) doi:10.1201/b16101), Bayesian response-adaptive randomization with a control group using the Thall \& Wathen method for binary and continuous endpoints (Thall and Wathen (2007) doi:10.1016/j.ejca.2007.01.006) and the forward-looking Gittins index rule for binary and continuous endpoints (Villar, Wason, and Bowden (2015) doi:10.1111/biom.12337, Williamson and Villar (2019) doi:10.1111/biom.13119).

Install

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

install.packages("RARtrials", 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("yayayaoyaoyao/RARtrials")

Development version from yayayaoyaoyao/RARtrials. 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-rartrials

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-RARtrials

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-RARtrials

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.4 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.33

0.0%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 509 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 83%
Return-value docs: 100%
References docs: 88%

Downloads

2K

CRAN downloads in the past year

Rank #22,914 · ~5/day · ~167/mo

Releases R versions

Daily download trend is not available in this view yet.

10830 days

47190 days

2K1 year

Compare downloads with other packages →

Also on103 r2u29 autocran

Repository

GitHub ↗ yayayaoyaoyao/rartrials

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License GPL-3.0 · Last activity 2026-02-03

Repository practices

Upstream repositoryBeta

Checks run against github.com/yayayaoyaoyao/rartrials on 2026-08-23.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (3)

R >= 4.3statspins

Imports (1)

Rdpack

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)

Maintainer (1)

Chuyao Xu

Author, Maintainer

Authors (3)

Chuyao Xu

Author, Maintainer

Thomas Lumley

Author, Thesis advisor

Alain Vandal

Author, Thesis advisor

Copyright holders (2)

Sofia S. Villar

Copyright holder

Kyle J. Wathen

Copyright holder

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.0.2Latest
2025-04-03 · current release · diff ↗
0.0.1
2024-06-04
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-06-04
Total releases: 2 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.3
Download size: 410 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RARtrials")

Format

Xu, C., Lumley, T., Vandal, A., Villar, S. S., & Wathen, K. J. (2025). RARtrials: Response-Adaptive Randomization in Clinical Trials (Version 0.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.RARtrials

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 RARtrials version 0.0.2 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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