QFeatures
Bioc currentQuantitative features for mass spectrometry data
Release Lineage
Entered 3.12 · Oct 28, 2020
Current · Requires R 4.6
Description
The QFeatures infrastructure enables the management and processing of quantitative features for high-throughput mass spectrometry assays. It provides a familiar Bioconductor user experience to manages quantitative data across different assay levels (such as peptide spectrum matches, peptides and proteins) in a coherent and tractable format.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
100 32 exported
Complexity
3.7 avg / 14 max
Call network
100 nodes / 95 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
14,069
Files
122
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
32
Internal functions
68
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.60
testthat edition
–
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
21.1%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.1
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
12
First release
2020-10-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
6
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 95%
- Documented parameters
- 96%
- Return-value docs
- 93%
- References docs
- 9%
Topics
Depended on by (16)
People
- Laurent Gatto author maintainer
- Léopold Guyot contributor
- Karolína Kryštofová contributor
- Christophe Vanderaa author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("QFeatures")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.