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NewWave

Bioc current

Negative binomial model for scRNA-seq

v1.22.0 · Package record · software · GPL-3

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

Description

A model designed for dimensionality reduction and batch effect removal for scRNA-seq data. It is designed to be massively parallelizable using shared objects that prevent memory duplication, and it can be used with different mini-batch approaches in order to reduce time consumption. It assumes a negative binomial distribution for the data with a dispersion parameter that can be both commonwise across gene both genewise.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

15 1 exported

Complexity

4.9 avg / 27 max

Call network

15 nodes / 11 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

4,701

Files

52

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,756 (58.6%)Tests 283 (6%)Docs 1,478 (31.4%)Vignettes 184 (3.9%)

API

Exported functions

28

Internal functions

14

Testing

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

–

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

4.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

12

First release

2020-12-21

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.12: 3,833 LOCv3.13: 4,701 LOCv3.14: 4,701 LOCv3.15: 4,701 LOCv3.16: 4,701 LOCv3.17: 4,701 LOCv3.18: 4,701 LOCv3.19: 4,701 LOCv3.20: 4,701 LOCv3.21: 4,701 LOCv3.22: 4,701 LOCv3.23: 4,701 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 · 123 wordsVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNo
Help pages
35 (6 internal)
Examples that run
100%28 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fedeago/newwave on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)

GitHub Pages site last deployed 2025-08-25 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v3 (2026-09-26)

Topics

Maintainer
Federico Agostinis

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NewWave")
Agostinis, F., Risso, D., Romualdi, C., & Sales, G. (2026). NewWave: Negative binomial model for scRNA-seq (Version 1.22.0) [Computer software]. https://bioconductor.org/packages/NewWave

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 NewWave version 1.22.0 [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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