BLMA
Bioc currentBLMA: A package for bi-level meta-analysis
Release Lineage
Entered 3.5 · Apr 25, 2017
Current · Requires R 4.6
Description
Suit of tools for bi-level meta-analysis. The package can be used in a wide range of applications, including general hypothesis testings, differential expression analysis, functional analysis, and pathway analysis.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
23 13 exported
Complexity
2.6 avg / 10 max
Call network
23 nodes / 8 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
4,337
Files
36
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
12
Internal functions
10
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
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
GPL (>=2)
License flags
not SPDX, not OSI
History
Versions
19
First release
2017-04-24
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
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
- 100%
- References docs
- 88%
Topics
People
Van-Dung Pham
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BLMA")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.