scSpatialSIM
0.1.4A 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/.
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Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- References docs
- 0%
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Checks run against github.com/fridleylab/scspatialsim on 2026-07-30.
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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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet