tidyexposomics
Bioc currentIntegrated Exposure-Omics Analysis Powered by Tidy Principles
Release Lineage
Entered 3.23 · Apr 29, 2026
Current · Requires R 4.6
Description
The tidyexposomics package is designed to facilitate the integration of exposure and omics data to identify exposure-omics associations. We structure our commands to fit into the tidyverse framework, where commands are designed to be simplified and intuitive. Here we provide functionality to perform quality control, sample and exposure association analysis, differential abundance analysis, multi-omics integration, and functional enrichment analysis.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
117 52 exported
Complexity
5.2 avg / 33 max
Call network
117 nodes / 138 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
21,476
Files
173
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
52
Internal functions
65
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.12
testthat edition
3
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
2.9%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.5.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
1
First release
2026-04-28
Latest release
2026-04-28
Avg cadence
–
Cold removal rate
–
Dep drift
0
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 98%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Jason Laird author maintainer
- JHU Discovery Award fnd
- Thomas Hartung contributor
- Alexandra Maertens contributor
- Fenna Sillé contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("tidyexposomics")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.
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.