MSstatsBig
Bioc currentMSstats Preprocessing for Larger than Memory Data
Release Lineage
Entered 3.18 · Oct 25, 2023
Current · Requires R 4.6
Description
MSstats package provide tools for preprocessing, summarization and differential analysis of mass spectrometry (MS) proteomics data. Recently, some MS protocols enable acquisition of data sets that result in larger than memory quantitative data. MSstats functions are not able to process such data. MSstatsBig package provides additional converter functions that enable processing larger than memory data sets.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
13 5 exported
Complexity
2.8 avg / 11 max
Call network
13 nodes / 12 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
1,529
Files
31
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
5
Internal functions
8
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.51
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
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
6
First release
2024-04-04
Latest release
2026-04-28
Avg cadence
168 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
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (1)
Bioconductor (1)
People
- Anthony Wu author maintainer
- Devon Kohler author
- Mateusz Staniak author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("MSstatsBig")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 v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.