Chromatograms
Bioc currentInfrastructure for Chromatographic Mass Spectrometry Data
Release Lineage
Entered 3.22 · Oct 30, 2025
Current · Requires R 4.6
Description
The Chromatograms packages defines an efficient infrastructure for storing and handling of chromatographic mass spectrometry data. It provides different implementations of *backends* to store and represent the data. Such backends can be optimized for small memory footprint or fast data access/processing. A lazy evaluation queue and chunk-wise processing capabilities ensure efficient analysis of also very large data sets.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
54 13 exported
Complexity
4 avg / 16 max
Call network
54 nodes / 25 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
16,063
Files
70
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
13
Internal functions
41
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
1.28
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
28.6%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.5.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
2
First release
2025-10-29
Latest release
2026-04-28
Avg cadence
181 days
Cold removal rate
–
Dep drift
1
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
- 84%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (1)
Bioconductor (1)
People
- Philippine Louail author maintainer
- Laurent Gatto author
- Johannes Rainer author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("Chromatograms")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.