GSEAlm
Bioc currentLinear Model Toolset for Gene Set Enrichment Analysis
Release Lineage
Entered 2.2 · May 1, 2008
Current · Requires R 4.6
Description
Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
19 13 exported
Complexity
3 avg / 11 max
Call network
19 nodes / 9 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
6,992
Files
31
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
13
Internal functions
6
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
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
37
First release
2008-04-30
Latest release
2026-04-28
Avg cadence
182 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
- Help pages
- 6
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 94%
- Return-value docs
- 83%
- Help pages citing references
- 50%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Topics
Depended on by (1)
Bioconductor (1)
People (from the free-text Author field)
- Assaf Oron
-
Robert Gentleman
with contributions from S. Falcon and Z. Jiang
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GSEAlm")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.