Skip to content

ExpoRiskR

Bioc current

Exposure-Aware Multi-Omics Risk Modeling

v1.0.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

ExpoRiskR provides tools for exposure-aware multi-omics risk modeling in translational and environmental health studies. The package aligns sample identifiers across exposure and multi-omics blocks, performs lightweight preprocessing, and fits exposure-adjusted association models to build interpretable microbe–metabolite networks. It also computes simple exposure perturbation summaries and generates publication-ready visualizations. Workflows support both matrix-based inputs and SummarizedExperiment objects.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

28 13 exported

Complexity

6.9 avg / 24 max

Call network

28 nodes / 25 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

2,313

Files

48

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,544 (66.8%)Tests 50 (2.2%)Docs 564 (24.4%)Vignettes 155 (6.7%)

API

Exported functions

13

Internal functions

15

Recent export changes

v3.23+13 align_omics, align_omics_se, build_exposure_network +10 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.03

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

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

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

Documentation
READMEYes · 157 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
0%

Topics

People

Report a problem with this page →