tidyomics
Bioc currentEasily install and load the tidyomics ecosystem
Release Lineage
Entered 3.19 · May 1, 2024
Current · Requires R 4.6
Description
The tidyomics ecosystem is a set of packages for ’omic data analysis that work together in harmony; they share common data representations and API design, consistent with the tidyverse ecosystem. The tidyomics package is designed to make it easy to install and load core packages from the tidyomics ecosystem with a single command.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
21 3 exported
Complexity
1.8 avg / 4 max
Call network
21 nodes / 14 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
540
Files
19
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
18
Recent export changes
Testing
Has tests
Yes
Test-to-code ratio
0.09
testthat edition
3
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.2
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
5
First release
2024-04-30
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
4
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 3
- Examples that run
- 67%2 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/tidyomics/tidyomics on 2026-10-21.
Topics
People
- Stefano Mangiola author maintainer
- William Hutchison author
- Michael Love author
Cite
Cite this package
Run in R for the authors' entry:
citation("tidyomics")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1038/s41592-024-02299-2.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.