R Observatory: Metrics for RobinCar version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RobinCar

1.2.0Package record

Robust Inference for Covariate Adjustment in Randomized Clinical Trials

0packages dependsuggested by 1

6.1Kdownloads / year

67.0%test coverage

13/13flavors OK

Overview

About

Maintained by Marlena BannickCRAN page ↗

Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized clinical trials. Ting Ye, Jun Shao, Yanyao Yi, Qinyuan Zhao (2023) doi:10.1080/01621459.2022.2049278. Ting Ye, Marlena Bannick, Yanyao Yi, Jun Shao (2023) doi:10.1080/24754269.2023.2205802. Ting Ye, Jun Shao, Yanyao Yi (2023) doi:10.1093/biomet/asad045. Marlena Bannick, Jun Shao, Jingyi Liu, Yu Du, Yanyao Yi, Ting Ye (2024) doi:10.1093/biomet/asaf029. Xiaoyu Qiu, Yuhan Qian, Jaehwan Yi, Jinqiu Wang, Yu Du, Yanyao Yi, Ting Ye (2025) doi:10.48550/arXiv.2408.12541.

Changes in 1.2.0

Adds an option to return the influence function for the covariate-adjusted log-rank test.

From NEWS.md in the release

Install

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

install.packages("RobinCar", 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-robincar

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-RobinCar

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-RobinCar

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: 4.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-11

Show 2 earlier changesHide 2 earlier changes

WARNING12 OK, 1 WARNING2026-05-10
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMEYes · 276 wordsVignettesNoNEWSYes · 100% structured · mentions 1.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 23 (1 internal)
Examples that run: 100%6 run in a plain check
Exported functions with examples: 35%
Documented parameters: 100%
Return-value docs: 94%
Help pages citing references: 4% with a bibliography file

How these are measured

Downloads

6.1K

CRAN downloads in the past year

Rank #7,746 · ~17/day · ~504/mo

Releases R versions

Daily download trend is not available in this view yet.

43030 days

1.1K90 days

6.1K1 year

Compare downloads with other packages →

Also on99 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing RobinCar adds 129 packages (61 with compiled code, 79 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 2.10

Imports (16)

dplyr magrittr tidyr emulator numDeriv tidyversestatsrlangsurvivalfastDummies data.table broom SuperLearner AIPWMASSRdpack

LinkingTo (0)

none

Suggests (6)

knitr rmarkdown ranger forcats matrixcalc testthat (>= 3.0.0)

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

beeca

How these are counted

Code & Tests

People & History

People (5)

Marlena Bannick

Maintainer since 0.2.0 (2024), Author

Faith Bian

Author

Yuhan Qian

Author · added in 1.0.0

Ting Ye

Author

Yanyao Yi

Author

Releases (7)

Pick two releases to compare their code metrics.

1.2.0Latest
record
2026-04-24 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.1.0
record
2026-01-28 · diff ↗
1.0.0
record
2025-05-24 · diff ↗ ·
added 1 export
robincar_mh
R
R 4.5.0 released · 2025-04-11
0.3.2
record
2024-11-08 · diff ↗
0.3.1
record
2024-11-07 · diff ↗
0.3.0
record
2024-05-20 · diff ↗ ·
removed 2 exports
robincar_glm2, robincar_linear2
0.2.0
record
2024-05-02
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-05-02
Total releases: 7 / 2 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Download size: 242 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RobinCar")

Format

Bannick, M., Bian, F., Qian, Y., Ye, T., & Yi, Y. (2026). RobinCar: Robust Inference for Covariate Adjustment in Randomized Clinical Trials (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RobinCar

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 RobinCar version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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