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scSpatialSIM

0.1.4Package record

A Point Pattern Simulator for Spatial Cellular Data

0packages dependsuggested by 1
3Kdownloads / year
2.3%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 12.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.4
READMEYes · 79 wordsVignettesYes · 3 · dynamicNEWSNoCitation fileNo
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

3K
CRAN downloads in the past year
Rank #15,160 · ~8/day · ~248/mo
Daily download trend is not available in this view yet.
33630 days
78890 days
3K1 year
Compare downloads with other packages →
Also on86 r2u10 autocran

Repository

4Stars
2Forks
2Open issues
0Open PRs
6Releases
91Commits
1Commit identities
91 commits · Last activity 2026-02-16 · 0% stars, 30d
Responsiveness
How these are sampled
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

Stars over time

2024-05-24 · 42026-07-07 · 4
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-02-16

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 4.00
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (7)
Maintainer since 0.1.3.2 (2023)
Author, Copyright holder
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.4Latest
    record
    2026-02-16 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.3.4
    record
    2024-10-01 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.3.3
    record
    2023-12-19 · diff ↗
  • 0.1.3.2
    record
    2023-10-12
  • R
    R 4.3.0 released · 2023-04-21

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

Cite this package

Run in R for the authors' preferred citation:

citation("scSpatialSIM")
Lab, F., Creed, J., Fridley, B., Ospina, O., Soupir, A., Wilson, C., & Wrobel, J. (2026). scSpatialSIM: A Point Pattern Simulator for Spatial Cellular Data (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.scSpatialSIM

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 scSpatialSIM version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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