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bioassayR

Bioc current

Cross-target analysis of small molecule bioactivity

v1.50.0 · software · Artistic-2.0

Release Lineage

Entered 2.13 · Oct 15, 2013

Current · Requires R 4.6

1.0 In 26 of 49 releases 3.23

Description

bioassayR is a computational tool that enables simultaneous analysis of thousands of bioassay experiments performed over a diverse set of compounds and biological targets. Unique features include support for large-scale cross-target analyses of both public and custom bioassays, generation of high throughput screening fingerprints (HTSFPs), and an optional preloaded database that provides access to a substantial portion of publicly available bioactivity data.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

45 29 exported

Complexity

5.8 avg / 26 max

Call network

45 nodes / 38 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

4,975

Files

71

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,644 (33%)Tests 361 (7.3%)Docs 1,741 (35%)Vignettes 1,229 (24.7%)

API

Exported functions

29

Internal functions

16

Testing & CI

Has tests

Yes

Test-to-code ratio

0.22

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

37.5%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

26

First release

2013-10-14

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

4

LOC over versions

v2.13: 1,524 LOCv2.14: 2,048 LOCv3.0: 2,455 LOCv3.1: 2,853 LOCv3.2: 4,263 LOCv3.3: 4,695 LOCv3.4: 4,699 LOCv3.5: 4,972 LOCv3.6: 4,972 LOCv3.7: 4,972 LOCv3.8: 4,973 LOCv3.9: 4,973 LOCv3.10: 4,973 LOCv3.11: 4,973 LOCv3.12: 4,973 LOCv3.13: 4,973 LOCv3.14: 4,975 LOCv3.15: 4,975 LOCv3.16: 4,975 LOCv3.17: 4,975 LOCv3.18: 4,975 LOCv3.19: 4,975 LOCv3.20: 4,975 LOCv3.21: 4,975 LOCv3.22: 4,975 LOCv3.23: 4,975 LOC

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

Documentation

Documentation
READMEYes · 57 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
71%
References docs
21%

Topics

People

Thomas Girke

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bioassayR")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bioassayR version 1.50.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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