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lisaClust

Bioc current

lisaClust: Clustering of Local Indicators of Spatial Association

v1.20.0 · Package record · software · GPL (>=2)

Release Lineage

Entered 3.13 · May 20, 2021

Current · Requires R 4.6

1.0 In 11 of 49 releases 3.23

Description

lisaClust provides a series of functions to identify and visualise regions of tissue where spatial associations between cell-types is similar. This package can be used to provide a high-level summary of cell-type colocalization in multiplexed imaging data that has been segmented at a single-cell resolution.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

31 8 exported

Complexity

3.2 avg / 14 max

Call network

31 nodes / 23 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

2,603

Files

21

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,777 (68.3%)Tests 29 (1.1%)Docs 502 (19.3%)Vignettes 295 (11.3%)

API

Exported functions

8

Internal functions

16

Testing

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

3

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

11

First release

2021-05-19

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

12

LOC over versions

v3.13: 2,074 LOCv3.14: 2,074 LOCv3.15: 2,074 LOCv3.16: 2,458 LOCv3.17: 2,460 LOCv3.18: 2,417 LOCv3.19: 2,424 LOCv3.20: 2,473 LOCv3.21: 2,603 LOCv3.22: 2,603 LOCv3.23: 2,603 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 · 164 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown
Help pages
6
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ellispatrick/lisaclust on 2026-10-22.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-10-21 · The repository has a site deploy workflow

How this is detected·Detection ruleset v4 (2026-10-20)

Topics

Maintainer
Ellis Patrick

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (2)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lisaClust")
Patrick, E., Canete, N., Qin, A., Rao, S. s. r. e. a., & Robertson, N. (2026). lisaClust: lisaClust: Clustering of Local Indicators of Spatial Association (Version 1.20.0) [Computer software]. https://bioconductor.org/packages/lisaClust

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 lisaClust version 1.20.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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