R Observatory: Metrics for bayNorm version 1.30.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayNorm

Bioc current

Single-cell RNA sequencing data normalization

v1.30.0 · software · GPL (>= 2)

View on Bioconductor ↗ Source ↗

Release Lineage

Entered 3.8 · Oct 31, 2018

Current · Requires R 4.6

1.0 In 16 of 49 releases 3.23

Description

bayNorm is used for normalizing single-cell RNA-seq data.

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

77 17 exported

Complexity

4 avg / 28 max

Call network

77 nodes / 82 edges

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

Call graph

Open call graph →

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Lowest coverage

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

Code

Structure

Lines of code

6,320

Files

43

Compiled share

29%

Has compiled src

Yes

Language breakdown

R 1,847 (29.2%)C/C++/src 1,835 (29%)Tests 33 (0.5%)Docs 972 (15.4%)Vignettes 1,633 (25.8%)

API

Exported functions

17

Internal functions

10

Recent export changes

v3.8+11 AdjustSIZE_fun, BB_Fun, BetaFun +8 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.02

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

5.6%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5

System requirements

–

C++ standard

C++11

License

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

16

First release

2019-03-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

1

LOC over versions

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

Documentation

READMEYes · 443 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 17%

Topics

Software › ResearchField › Immunology › ImmunoOncology

Software › WorkflowStep › Normalization

Software › Technology › Sequencing › RNASeq

Software › Technology › SingleCell

Software › Technology › Sequencing

People

At a glance

Version: 1.30.0
Category: software
License: GPL (>= 2)
Requires R: ≥ 4.6
Maintainer: Wenhao Tang
Entered: 3.8 · Oct 31, 2018
Current: 3.23 · Apr 29, 2026

Available on

CRAN r2u Bioconductor autoCRAN COPR

Dependencies

Depends

R (>= 3.5)

Imports

Rcpp (>= 0.12.12)BB foreach iterators doSNOW MatrixparallelMASSlocfit fitdistrplusstatsmethodsgraphicsgrDevicesSingleCellExperimentBiocSummarizedExperimentBiocBiocParallelBiocutils

Suggests

knitr rmarkdownBiocStyleBiocdevtools testthat

Source & history

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayNorm")

Format

Tang, W., Bertaux, F., Marguerat, S., Saint, M., Shahrezaei, V., Stefanelli, C., & Thomas, P. (2026). bayNorm: Single-cell RNA sequencing data normalization (Version 1.30.0) [Computer software]. https://bioconductor.org/packages/bayNorm

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bayNorm version 1.30.0 [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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