Release Lineage
Entered 3.14 · Oct 27, 2021
Current · Requires R 4.6
Description
A set of tools for working with miRNA affinity models (KdModels), efficiently scanning for miRNA binding sites, and predicting target repression. It supports scanning using miRNA seeds, full miRNA sequences (enabling 3' alignment) and KdModels, and includes the prediction of slicing and TDMD sites. Finally, it includes utility and plotting functions (e.g. for the visual representation of miRNA-target alignment).
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
38 16 exported
Complexity
8.1 avg / 53 max
Call network
38 nodes / 44 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
3,324
Files
48
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
16
Internal functions
22
Testing & CI
Has tests
Yes
Test-to-code ratio
0.15
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
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
10
First release
2021-10-26
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
9
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
- 98%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (2)
Bioconductor (2)
People
- Pierre-Luc Germain maintainer author
- Fridolin Gross author
- Michael Soutschek author