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limma

Bioc current

Linear Models for Microarray and Omics Data

v3.68.5 · software · GPL (>=2)

Release Lineage

Entered 1.4 · May 17, 2004

Current · Requires R 4.6

1.0 In 45 of 49 releases 3.23

Description

Data analysis, linear models and differential expression for omics data.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

334 0 exported

Complexity

8.6 avg / 74 max

Call network

334 nodes / 263 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

28,262

Files

291

Compiled share

2.3%

Has compiled src

Yes

Language breakdown

R 14,713 (52.1%)C/C++/src 641 (2.3%)Tests 1,567 (5.5%)Docs 11,276 (39.9%)Vignettes 65 (0.2%)

API

Exported functions

274

Internal functions

49

Testing & CI

Has tests

Yes

Test-to-code ratio

0.11

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

75%

Unsafe pattern score

5

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6.0

System requirements

C++ standard

License

GPL (>=2)

License flags

not SPDX, not OSI

History

Versions

45

First release

2004-08-23

Latest release

2026-05-31

Avg cadence

183 days

Cold removal rate

Dep drift

10

LOC over versions

v1.4: 7,702 LOCv1.5: 11,319 LOCv1.6: 11,104 LOCv1.7: 11,430 LOCv1.8: 11,935 LOCv1.9: 12,230 LOCv2.0: 13,111 LOCv2.1: 13,317 LOCv2.2: 13,351 LOCv2.3: 13,825 LOCv2.4: 14,617 LOCv2.5: 15,745 LOCv2.6: 16,116 LOCv2.7: 16,474 LOCv2.8: 16,689 LOCv2.9: 17,026 LOCv2.10: 17,540 LOCv2.11: 17,769 LOCv2.12: 19,129 LOCv2.13: 19,759 LOCv2.14: 21,250 LOCv3.0: 22,638 LOCv3.1: 23,559 LOCv3.2: 23,929 LOCv3.3: 24,632 LOCv3.4: 24,953 LOCv3.5: 25,312 LOCv3.6: 25,551 LOCv3.7: 25,643 LOCv3.8: 25,892 LOCv3.9: 26,205 LOCv3.10: 26,514 LOCv3.11: 26,799 LOCv3.12: 26,900 LOCv3.13: 26,975 LOCv3.14: 27,139 LOCv3.15: 27,224 LOCv3.16: 27,211 LOCv3.17: 27,232 LOCv3.18: 27,268 LOCv3.19: 27,735 LOCv3.20: 28,012 LOCv3.21: 28,121 LOCv3.22: 28,224 LOCv3.23: 28,262 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Topics

Depended on by (530)

CRAN (77)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("limma")
Smyth, G., Chen, L., Chen, Y., Choi, D., Davy, M., Ferkingstad, E., Giner, G., Hu, Y., Langaas, M., Law, C., Li, M., Lun, A., McCarthy, D., Oshlack, A., Pepin, F., Phipson, B., Ritchie, M., Shi, W., Silver, J., Thorne, N., Wettenhall, J., Wu, D., & de Graaf, C. (2026). limma: Linear Models for Microarray and Omics Data (Version 3.68.5) [Computer software]. https://bioconductor.org/packages/limma

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for limma version 3.68.5 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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