R Observatory: Metrics for RARfreq version 0.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RARfreq

0.1.5Package record

Response Adaptive Randomization with 'Frequentist' Approaches

0packages depend

6.7Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Xiu HuangCRAN page ↗

Provides functions and command-line user interface to generate allocation sequence by response-adaptive randomization for clinical trials. The package currently supports two families of frequentist response-adaptive randomization procedures, Doubly Adaptive Biased Coin Design ('DBCD') and Sequential Estimation-adjusted Urn Model ('SEU'), for binary and normal endpoints. One-sided proportion (or mean) difference and Chi-square (or 'ANOVA') hypothesis testing methods are also available in the package to facilitate the inference for treatment effect. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria. For example, plots for relationship among assumed treatment effects, sample size, and power are provided. Five allocation functions for 'DBCD' and six addition rule functions for 'SEU' are implemented to target allocations such as 'Neyman', 'Rosenberger' Rosenberger et al. (2001) doi:10.1111/j.0006-341X.2001.00909.x and 'Urn' allocations.

Install

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

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

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

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-rarfreq

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-RARfreq

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-RARfreq

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: 3.0 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 0.1.5

READMEYes · 59 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 18
Examples that run: 100%18 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 6% with a bibliography file

How these are measured

Downloads

6.7K

CRAN downloads in the past year

Rank #9,444 · ~18/day · ~555/mo

Releases R versions

Daily download trend is not available in this view yet.

35130 days

1.1K90 days

6.7K1 year

Compare downloads with other packages →

Also on85 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing RARfreq adds 37 packages (20 with compiled code, 42 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)

none

Imports (10)

dplyr ggplot2 latex2exp magrittr patchworkstatstidyr data.table reshape2 Rdpack

LinkingTo (0)

none

Suggests (2)

spelling testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Xiu Huang

Author, Maintainer since 0.1.3 (2023)

Li Wang

Author · added in 0.1.4

Mengjia Yu

Author

Hongjian Zhu

Author

Listed in earlier versions (1)

Feifang Hu

no longer listed · 0.1.4

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.5Latest
record
2024-05-07 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.4
record
2023-04-04 · diff ↗
0.1.3
record
2023-03-02
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-03-02
Total releases: 3 / 3 yrs
License: MIT + file LICENSE OSI
Download size: 38 KB

Appears in task views

Clinical Trial Design, Monitoring, Analysis and Reporting

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RARfreq")

Format

Huang, X., Wang, L., Yu, M., & Zhu, H. (2024). RARfreq: Response Adaptive Randomization with 'Frequentist' Approaches (Version 0.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.RARfreq

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 RARfreq version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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