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beer

Bioc current

Bayesian Enrichment Estimation in R

v1.15.1 · software · MIT + file LICENSE

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData object, BEER returns posterior probabilities of enriched antibody responses, point estimates for the relative fold-change in comparison to negative control samples, and more. Additionally, BEER provides a convenient implementation for using edgeR to identify enriched antibody responses.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

31 10 exported

Complexity

4.1 avg / 14 max

Call network

31 nodes / 38 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

4,529

Files

75

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,154 (47.6%)Tests 655 (14.5%)Docs 1,323 (29.2%)Vignettes 397 (8.8%)

API

Exported functions

10

Internal functions

21

Testing & CI

Has tests

Yes

Test-to-code ratio

0.30

testthat edition

3

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

10%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.2.0

System requirements

1

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.15: 3,880 LOCv3.16: 4,506 LOCv3.17: 4,506 LOCv3.18: 4,506 LOCv3.19: 4,506 LOCv3.20: 4,506 LOCv3.21: 4,506 LOCv3.22: 4,506 LOCv3.23: 4,529 LOC

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

Documentation

Documentation
READMEYes · 808 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
76%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("beer")
Chen, A., Ruczinski, I., & Scharpf, R. (2026). beer: Bayesian Enrichment Estimation in R (Version 1.15.1) [Computer software]. https://bioconductor.org/packages/beer

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 beer version 1.15.1 [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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