apeglm
Bioc currentApproximate posterior estimation for GLM coefficients
Release Lineage
Entered 3.6 · Oct 31, 2017
Current · Requires R 4.6
Description
apeglm provides Bayesian shrinkage estimators for effect sizes for a variety of GLM models, using approximation of the posterior for individual coefficients.
Code & tests
Open call graph →Line coverage
–
Expression
–
Tests / Examples
–
Functions
37 4 exported
Complexity
5.1 avg / 41 max
Call network
37 nodes / 36 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
3,032
Files
28
Compiled share
10.8%
Has compiled src
Yes
Language breakdown
API
Exported functions
4
Internal functions
22
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.19
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
100%
\dontrun example ratio
0%
Roxygen coverage
100%
Has pkgdown
No
NEWS present
Yes
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
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
18
First release
2017-12-20
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.
Topics
Depended on by (19)
Bioconductor (18)
CRAN (1)
People
- Anqi Zhu author maintainer
- Joseph Ibrahim author
- Michael Love author
- Joshua Zitovsky contributor