lisaClust
Bioc currentlisaClust: Clustering of Local Indicators of Spatial Association
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
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.
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.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
2,603
Files
26
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
8
Internal functions
16
Testing & CI
Has tests
Yes
Test-to-code ratio
0.02
testthat edition
3
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
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
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (2)
Bioconductor (2)
People
- Ellis Patrick author maintainer
- Nicolas Canete author
- Alex Qin contributor
- Shreya shreya.rajeshrao@sydney.edu.au Rao contributor
- Nicholas Robertson contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("lisaClust")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.
From data release v2026-08-08, which the citation names so these numbers can be found later. More on citing and the projects behind them.