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AWAggregator

Bioc current

Attribute-Weighted Aggregation

v1.2.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

This package implements an attribute-weighted aggregation algorithm which leverages peptide-spectrum match (PSM) attributes to provide a more accurate estimate of protein abundance compared to conventional aggregation methods. This algorithm employs pre-trained random forest models to predict the quantitative inaccuracy of PSMs based on their attributes. PSMs are then aggregated to the protein level using a weighted average, taking the predicted inaccuracy into account. Additionally, the package allows users to construct their own training sets that are more relevant to their specific experimental conditions if desired.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

7 7 exported

Complexity

7.1 avg / 11 max

Call network

7 nodes / 1 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

1,795

Files

32

Compiled share

0%

Has compiled src

No

Language breakdown

R 788 (43.9%)Tests 117 (6.5%)Docs 481 (26.8%)Vignettes 409 (22.8%)

API

Exported functions

7

Internal functions

0

Recent export changes

v3.22+7 aggregateByAttributes, convertPDFormat, fitQuantInaccuracyModel +4 more

Testing

Has tests

Yes

Test-to-code ratio

0.15

testthat edition

3

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

4.5.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2025-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.22: 1,795 LOCv3.23: 1,795 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 1,145 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
10
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
10%

Repository practices

Upstream repositoryBeta

Checks run against github.com/tan-jiahua/awaggregator on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 3
NameClassSizeAlso in
sample.PSM.FPdata.frame118 × 20No other package
sample.PSM.PDdata.frame128 × 21No other package
sample.prot.PDdata.frame5 × 2No other package

All of AWAggregator's data objects

Topics

Maintainer
Jiahua Tan

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("AWAggregator")
Tan, J., Chen, D. D. Y., Morin, G. B., & Negri, G. L. (2026). AWAggregator: Attribute-Weighted Aggregation (Version 1.2.0) [Computer software]. https://bioconductor.org/packages/AWAggregator

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 AWAggregator version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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