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blima

Bioc current

Tools for the preprocessing and analysis of the Illumina microarrays on the detector (bead) level

v1.46.0 · software · GPL-3

Release Lineage

Entered 3.0 · Oct 14, 2014

Current · Requires R 4.6

1.0 In 24 of 49 releases 3.23

Description

Package blima includes several algorithms for the preprocessing of Illumina microarray data. It focuses to the bead level analysis and provides novel approach to the quantile normalization of the vectors of unequal lengths. It provides variety of the methods for background correction including background subtraction, RMA like convolution and background outlier removal. It also implements variance stabilizing transformation on the bead level. There are also implemented methods for data summarization. It also provides the methods for performing T-tests on the detector (bead) level and on the probe level for differential expression testing.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

33 0 exported

Complexity

4.5 avg / 13 max

Call network

33 nodes / 32 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

4,229

Files

79

Compiled share

1.9%

Has compiled src

Yes

Language breakdown

R 2,300 (54.4%)C/C++/src 80 (1.9%)Docs 1,380 (32.6%)Vignettes 469 (11.1%)

API

Exported functions

15

Internal functions

1

Testing & CI

Has tests

No

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

42.9%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.3

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

24

First release

2014-10-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

1

LOC over versions

v3.0: 4,084 LOCv3.1: 4,083 LOCv3.2: 4,083 LOCv3.3: 4,083 LOCv3.4: 4,083 LOCv3.5: 4,219 LOCv3.6: 4,229 LOCv3.7: 4,229 LOCv3.8: 4,229 LOCv3.9: 4,229 LOCv3.10: 4,229 LOCv3.11: 4,229 LOCv3.12: 4,229 LOCv3.13: 4,229 LOCv3.14: 4,229 LOCv3.15: 4,229 LOCv3.16: 4,229 LOCv3.17: 4,229 LOCv3.18: 4,229 LOCv3.19: 4,229 LOCv3.20: 4,229 LOCv3.21: 4,229 LOCv3.22: 4,229 LOCv3.23: 4,229 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
7%
References docs
2%

Topics

Depended on by (1)

Bioconductor (1)

People

Vojtěch Kulvait

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("blima")

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 blima version 1.46.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

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.

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