R Observatory: Metrics for faers version 1.8.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

faers

Bioc current

R interface for FDA Adverse Event Reporting System

v1.8.0 · software · MIT + file LICENSE

View on Bioconductor ↗ Source ↗

Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

The FDA Adverse Event Reporting System (FAERS) is a database used for the spontaneous reporting of adverse events and medication errors related to human drugs and therapeutic biological products. faers pacakge serves as the interface between the FAERS database and R. Furthermore, faers pacakge offers a standardized approach for performing pharmacovigilance analysis.

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

210 21 exported

Complexity

2.3 avg / 23 max

Call network

210 nodes / 278 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Call graph

Open call graph →

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

8,736

Files

91

Compiled share

0%

Has compiled src

No

Language breakdown

R 5,754 (65.9%)Tests 1,347 (15.4%)Docs 1,362 (15.6%)Vignettes 273 (3.1%)

API

Exported functions

43

Internal functions

187

Recent export changes

v3.19+43 athena, faers, faers_available +40 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.23

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

16.7%

Unsafe pattern score

0

Dep constraint coverage

13.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

5

First release

2024-07-02

Latest release

2026-04-28

Avg cadence

175 days

Cold removal rate

–

Dep drift

0

LOC over versions

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

READMEYes · 1,105 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 95%
Return-value docs: 100%
References docs: 10%

Topics

Software

Software › Infrastructure › DataImport

Software › ResearchField › BiomedicalInformatics

Software › ResearchField › Pharmacogenomics

People

Yun Peng author maintainer
JiaXing Lin author
Caipeng Qin author
YuXuan Song author

At a glance

Version: 1.8.0
Category: software
License: MIT + file LICENSE
Requires R: ≥ 4.6
Maintainer: Yun Peng
Entered: 3.19 · May 1, 2024
Current: 3.23 · Apr 29, 2026

Available on

CRAN r2u Bioconductor autoCRAN COPR

Dependencies

Depends

R (>= 3.5.0)

Imports

BiocParallelBiocbrio cli curl (>= 6.0.0)data.table httr2 (>= 1.0.0)MCMCpackmethodsopenEBGM rlang rvesttoolsutilsvroom xml2

Suggests

BiocStyleBioccountrycode knitr rmarkdown testthat (>= 3.0.0)

Source & history

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("faers")

Format

Peng, Y., Lin, J., Qin, C., & Song, Y. (2026). faers: R interface for FDA Adverse Event Reporting System (Version 1.8.0) [Computer software]. https://bioconductor.org/packages/faers

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 faers version 1.8.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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