aroma.light
Bioc currentLight-Weight Methods for Normalization and Visualization of Microarray Data using Only Basic R Data Types
Release Lineage
Entered 1.9 · Oct 4, 2006
Current · Requires R 4.6
Description
Methods for microarray analysis that take basic data types such as matrices and lists of vectors. These methods can be used standalone, be utilized in other packages, or be wrapped up in higher-level classes.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
6 0 exported
Complexity
1.3 avg / 3 max
Call network
6 nodes / 1 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
11,385
Files
192
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
3
Internal functions
3
Testing & CI
Has tests
Yes
Test-to-code ratio
0.22
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Return-value doc rate
–
\dontrun example ratio
0%
Roxygen coverage
–
Has pkgdown
No
NEWS present
Yes
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
80%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
2.15.2
System requirements
–
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
40
First release
2006-10-03
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
6
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Topics
Depended on by (8)
Bioconductor (4)
CRAN (4)
People
- Henrik Bengtsson author maintainer cph
- Aaron Lun contributor
- Pierre Neuvial contributor