A Point Pattern Simulator for Spatial Cellular Data
Overview
Single cell resolution data has been valuable in learning about tissue microenvironments and interactions between cells or spots. This package allows for the simulation of this level of data, be it single cell or ‘spots’, in both a univariate (single metric or cell type) and bivariate (2 or more metrics or cell types) ways. As more technologies come to marker, more methods will be developed to derive spatial metrics from the data which will require a way to benchmark methods against each other. Additionally, as the field currently stands, there is not a gold standard method to be compared against. We set out to develop an R package that will allow users to simulate point patterns that can be biologically informed from different tissue domains, holes, and varying degrees of clustering/colocalization. The data can be exported as spatial files and a summary file (like 'HALO'). https://github.com/FridleyLab/scSpatialSIM/.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 16 (1 internal)
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 62%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
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6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/fridleylab/scspatialsim on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-02-16
Dependencies
Installing scSpatialSIM adds 80 packages (42 with compiled code, 69 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2023-10-12
- Total releases
- 4 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.00
- Bundled data
- 1.1 KB / 1 file
- Download size
- 1.3 MB
Cite
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