R Observatory: Metrics for accrual version 1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

accrual

1.4Package record

Bayesian Accrual Prediction

0packages depend

4.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Junhao LiuCRAN page ↗

Participant recruitment for medical research is challenging. Slow accrual leads to delays in research. Accrual monitoring during the process of recruitment is critical. Researchers need reliable tools to manage the accrual rate. We developed a Bayesian method that integrates the researcher's experience with previous trials and data from the current study, providing reliable predictions on accrual rate for clinical studies. For more details and background on these methodologies, see the publications of Byron, Stephen and Susan (2008) doi:10.1002/sim.3128, and Yu et al. (2015) doi:10.1002/sim.6359. In this R package, Bayesian accrual prediction functions are presented, which can be easily used by statisticians and clinical researchers.

Install

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

install.packages("accrual", 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-accrual

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-accrual

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-accrual

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: 3.6 min · r-oldrel-macos-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 1.4

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12includes a package overview page
Examples that run: 100%12 run in a plain check
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 8%

How these are measured

Downloads

4.1K

CRAN downloads in the past year

Rank #6,655 · ~11/day · ~344/mo

Releases R versions

Daily download trend is not available in this view yet.

43630 days

1.3K90 days

4.1K1 year

Compare downloads with other packages →

Also on101 r2u14 autocran

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing accrual adds 4 packages (0 with compiled code, 1.8 MB of source tarballs). Heaviest: tcltk2 1.1 MB, fgui 373 KB, SMPracticals 158 KB.

Depends (2)

R >= 3.1.3tcltk2

Imports (2)

fgui SMPracticals

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (7)

Junhao Liu

Author, Maintainer since 1.2 (2016) · added in 1.2

Maintainer

Byron J. Gajewski

Author

Yu Jiang

Author

Original author

Author

Author

Author

Author · added in 1.1

Previously maintained by Yu Jiang (1.0 to 1.1).

Releases (5)

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
R
R 4.4.0 released · 2024-04-24
unarchivedReturned to CRAN
2023-11-27
1.4Latest
record
2023-11-27 · current release · diff ↗
archivedRemoved from CRAN
2023-08-19
email to the maintainer is undeliverable
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.3
record
2017-10-20 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.2
record
2016-07-17 · diff ↗
R
R 3.3.0 released · 2016-05-03

Show 5 earlier eventsHide 5 earlier events

1.1
record
2015-06-10 · diff ↗
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
1.0
record
2014-02-24
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2014-02-24
Total releases: 5 / 12 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.1.3
Download size: 8.3 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("accrual")

Format

Liu, J., Gajewski, B. J., Jiang, Y., Mayo, M. S., Raghavan, R., Simon, S., & Wu, C. (2023). accrual: Bayesian Accrual Prediction (Version 1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.accrual

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 accrual version 1.4 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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