glmGamPoi
Bioc currentFit a Gamma-Poisson Generalized Linear Model
Release Lineage
Entered 3.11 · Apr 28, 2020
Current · Requires R 4.6
Description
Fit linear models to overdispersed count data. The package can estimate the overdispersion and fit repeated models for matrix input. It is designed to handle large input datasets as they typically occur in single cell RNA-seq experiments.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
133 7 exported
Complexity
5.9 avg / 37 max
Call network
133 nodes / 107 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
9,971
Files
89
Compiled share
11.9%
Has compiled src
Yes
Language breakdown
API
Exported functions
7
Internal functions
84
Testing & CI
Has tests
Yes
Test-to-code ratio
0.92
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
3
Dep constraint coverage
5.3%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
–
System requirements
1
C++ standard
C++17
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
13
First release
2020-04-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
12
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
- 85%
- Return-value docs
- 71%
- References docs
- 15%
Topics
Depended on by (9)
Bioconductor (7)
CRAN (2)
People
- Constantin Ahlmann-Eltze author maintainer
- Michael Love contributor
- Nathan Lubock contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("glmGamPoi")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.