raer
Bioc currentRNA editing tools in R
Release Lineage
Entered 3.18 · Oct 25, 2023
Current · Requires R 4.6
Description
Toolkit for identification and statistical testing of RNA editing signals from within R. Provides support for identifying sites from bulk-RNA and single cell RNA-seq datasets, and general methods for extraction of allelic read counts from alignment files. Facilitates annotation and exploratory analysis of editing signals using Bioconductor packages and resources.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
143 23 exported
Complexity
4.4 avg / 20 max
Call network
143 nodes / 147 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
14,042
Files
110
Compiled share
41.3%
Has compiled src
Yes
Language breakdown
API
Exported functions
23
Internal functions
41
Testing & CI
Has tests
Yes
Test-to-code ratio
0.41
testthat edition
3
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
9
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
1
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
6
First release
2024-03-08
Latest release
2026-04-28
Avg cadence
181 days
Cold removal rate
–
Dep drift
3
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 18%
Topics
People
- Kent Riemondy author maintainer
- RNA Bioscience Initiative cph fnd
- Jay Hesselberth contributor
- Ryan Sheridan contributor
- Kristen Wells-Wrasman author