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PAA

Bioc current

PAA (Protein Array Analyzer)

v1.46.0 · software · BSD_3_clause + file LICENSE

Release Lineage

Entered 3.0 · Oct 14, 2014

Current · Requires R 4.6

1.0 In 24 of 49 releases 3.23

Description

PAA imports single color (protein) microarray data that has been saved in gpr file format - esp. ProtoArray data. After preprocessing (background correction, batch filtering, normalization) univariate feature preselection is performed (e.g., using the "minimum M statistic" approach - hereinafter referred to as "mMs"). Subsequently, a multivariate feature selection is conducted to discover biomarker candidates. Therefore, either a frequency-based backwards elimination aproach or ensemble feature selection can be used. PAA provides a complete toolbox of analysis tools including several different plots for results examination and evaluation.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

59 19 exported

Complexity

10.9 avg / 51 max

Call network

59 nodes / 46 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

7,282

Files

71

Compiled share

4.7%

Has compiled src

Yes

Language breakdown

R 4,073 (55.9%)C/C++/src 340 (4.7%)Tests 1 (0%)Docs 1,929 (26.5%)Vignettes 939 (12.9%)

API

Exported functions

19

Internal functions

31

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

94.7%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

10%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.2.0

System requirements

1

C++ standard

License

BSD_3_clause + file LICENSE

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

2

LOC over versions

v3.0: 6,474 LOCv3.1: 6,558 LOCv3.2: 6,413 LOCv3.3: 7,280 LOCv3.4: 7,280 LOCv3.5: 7,280 LOCv3.6: 7,280 LOCv3.7: 7,280 LOCv3.8: 7,282 LOCv3.9: 7,282 LOCv3.10: 7,282 LOCv3.11: 7,282 LOCv3.12: 7,282 LOCv3.13: 7,282 LOCv3.14: 7,282 LOCv3.15: 7,282 LOCv3.16: 7,282 LOCv3.17: 7,282 LOCv3.18: 7,282 LOCv3.19: 7,282 LOCv3.20: 7,282 LOCv3.21: 7,282 LOCv3.22: 7,282 LOCv3.23: 7,282 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
44%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PAA")
Eisenacher, M., & Turewicz, M. (2026). PAA: PAA (Protein Array Analyzer) (Version 1.46.0) [Computer software]. https://bioconductor.org/packages/PAA

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 PAA version 1.46.0 [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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