R4RNA
Bioc currentAn R package for RNA visualization and analysis
Release Lineage
Entered 3.3 · May 4, 2016
Current · Requires R 4.6
Description
A package for RNA basepair analysis, including the visualization of basepairs as arc diagrams for easy comparison and annotation of sequence and structure. Arc diagrams can additionally be projected onto multiple sequence alignments to assess basepair conservation and covariation, with numerical methods for computing statistics for each.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
71 51 exported
Complexity
4.2 avg / 27 max
Call network
71 nodes / 130 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
3,251
Files
32
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
51
Internal functions
20
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
3
Dep constraint coverage
100%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.2.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
21
First release
2016-05-03
Latest release
2026-04-28
Avg cadence
182 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
- Help pages
- 17includes a package overview page
- Examples that run
- 100%16 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 81%
- Return-value docs
- 100%
- Help pages citing references
- 6%
- R4RNA PDF
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Datasets
Topics
Depended on by (2)
Bioconductor (1)
CRAN (1)
Suggested by (1)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' entry:
citation("R4RNA")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/nar/gks241.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.