lipidr
Bioc currentData Mining and Analysis of Lipidomics Datasets
Release Lineage
Entered 3.9 · May 3, 2019
Current · Requires R 4.6
Description
lipidr an easy-to-use R package implementing a complete workflow for downstream analysis of targeted and untargeted lipidomics data. lipidomics results can be imported into lipidr as a numerical matrix or a Skyline export, allowing integration into current analysis frameworks. Data mining of lipidomics datasets is enabled through integration with Metabolomics Workbench API. lipidr allows data inspection, normalization, univariate and multivariate analysis, displaying informative visualizations. lipidr also implements a novel Lipid Set Enrichment Analysis (LSEA), harnessing molecular information such as lipid class, total chain length and unsaturation.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
107 42 exported
Complexity
2.3 avg / 11 max
Call network
107 nodes / 129 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
6,590
Files
112
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
44
Internal functions
65
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.55
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
97.7%
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
3.6.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
15
First release
2019-05-02
Latest release
2026-04-28
Avg cadence
183 days
Cold removal rate
100%
Dep drift
2
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
- 96%
- References docs
- 3%
Topics
Depended on by (1)
Bioconductor (1)
People
- Ahmed Mohamed maintainer
- Ahmed Mohamed author
- Jeffrey Molendijk author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("lipidr")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 v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.