Skip to content

CellMixS

Bioc current

Evaluate Cellspecific Mixing

v1.28.0 · 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.

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

52

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 & CI

Has tests

Yes

Test-to-code ratio

0.18

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

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

Documentation
READMEYes · 382 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
33%

Topics

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 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 CellMixS version 1.28.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy