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CellMixS

Bioc current

Evaluate Cellspecific Mixing

v1.28.0 · Package record · software · GPL (>=2)

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

CellMixS provides metrics and functions to evaluate batch effects, data integration and batch effect correction in single cell trancriptome data with single cell resolution. Results can be visualized and summarised on different levels, e.g. on cell, celltype or dataset level.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

20 14 exported

Complexity

7.4 avg / 25 max

Call network

20 nodes / 15 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

4,575

Files

49

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,222 (48.6%)Tests 403 (8.8%)Docs 1,412 (30.9%)Vignettes 538 (11.8%)

API

Exported functions

14

Internal functions

6

Recent export changes

v3.9+9 cms, ldfDiff, ldfSce +6 more

Testing

Has tests

Yes

Test-to-code ratio

0.18

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 (>=2)

License flags

not SPDX, not OSI

History

Versions

15

First release

2019-07-22

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.9: 2,887 LOCv3.10: 4,573 LOCv3.11: 4,575 LOCv3.12: 4,575 LOCv3.13: 4,575 LOCv3.14: 4,575 LOCv3.15: 4,575 LOCv3.16: 4,575 LOCv3.17: 4,575 LOCv3.18: 4,575 LOCv3.19: 4,575 LOCv3.20: 4,575 LOCv3.21: 4,575 LOCv3.22: 4,575 LOCv3.23: 4,575 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 · 382 wordsVignettesYes · 1 · dynamicNEWSYesCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
21includes a package overview page
Examples that run
100%14 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
33%

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/almutlue/cellmixs 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

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

Datasets

Bundled datasets · 1
NameClassSizeAlso in
sim50list3 elements2 packages

2 internal objects are bundled for the package's own use and not listed here.

All of CellMixS's data objects

Topics

Maintainer
Almut Lütge

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CellMixS")
Lütge, A. (2026). CellMixS: Evaluate Cellspecific Mixing (Version 1.28.0) [Computer software]. https://bioconductor.org/packages/CellMixS

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 CellMixS version 1.28.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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