spaSim
Bioc currentSpatial point data simulator for tissue images
Release Lineage
Entered 3.16 · Nov 2, 2022
Current · Requires R 4.6
Description
A suite of functions for simulating spatial patterns of cells in tissue images. Output images are multitype point data in SingleCellExperiment format. Each point represents a cell, with its 2D locations and cell type. Potential cell patterns include background cells, tumour/immune cell clusters, immune rings, and blood/lymphatic vessels.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
14 10 exported
Complexity
16.9 avg / 39 max
Call network
14 nodes / 31 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
3,899
Files
51
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
10
Internal functions
4
Testing & CI
Has tests
Yes
Test-to-code ratio
0.12
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
4.2.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
8
First release
2022-11-30
Latest release
2026-04-28
Avg cadence
181 days
Cold removal rate
–
Dep drift
0
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
- 65%
- Return-value docs
- 100%
- References docs
- 0%
Topics
People
- Yuzhou Feng author maintainer
- Anna Trigos author