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SpaTopic

1.3.1Package record

Topic Inference to Identify Tissue Architecture in Multiplexed Images

0packages depend
3.1Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. The method is highly scalable to large-scale image datasets without extracting neighborhood information for every single cell. The package supports spatially resolved cell-level data analysis, topic inference, visualization, and downstream biological interpretation of tissue microenvironments.

Install

Health

CRAN checks
13OK
Slowest check: 5.9 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-01
Show 6 earlier changesHide 6 earlier changes
  • ERROR12 OK, 1 ERROR2026-04-28
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-04-10
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.1
READMEYes · 516 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.3.1Citation fileYes · cites a publicationWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages
14includes a package overview page
Examples that run
67%4 run in a plain check · 1 never run · 1 hold no code
Exported functions with examples
44%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.1K
CRAN downloads in the past year
Rank #10,516 · ~8/day · ~258/mo
Daily download trend is not available in this view yet.
27930 days
99690 days
3.1K1 year
Compare downloads with other packages →
Also on362 r2u

Repository

18Stars
3Forks
0Open issues
0Open PRs
4Releases
129Commits
3Commit identities
License file reads as GPL-3.0 · 129 commits · Last activity 2026-06-05 · 0% stars, 30d · Default branch at 1.3.1.9000, ahead of CRAN 1.3.1 (checked 2026-10-25)
Responsiveness
How these are sampled
PRs merged (all time)
75%
Median days to close, 50 most recently updated closed issues
67
Median days to close, 50 most recently updated closed PRs
4

Stars over time

2025-08-22 · 112026-07-07 · 18
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/xiyupeng/spatopic on 2026-10-25.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-06-05

Coverage (1)
Coverage reporting
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing SpaTopic adds 14 packages (10 with compiled code, 18 MB of source tarballs). Heaviest: sf 9.3 MB, s2 2.8 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.5.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.1 (2024)
Author · added in 1.3.1
Releases (4)

Pick two releases to compare their code metrics.

  • 1.3.1Latest
    record
    2026-05-29 · current release · diff ↗ ·
    added 6 exports
    frex_topic, label_topics, lift_topic, prob_topic, score_topic, stratified_sampling_3D_via_2D
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.2.0
    record
    2025-03-03 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0
    record
    2024-04-23 · diff ↗
  • 1.0.1
    record
    2024-01-17
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-01-17
Total releases
4 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
487 KB / 1 file
Download size
433 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("SpaTopic")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1038/s41467-025-61821-y.

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 SpaTopic version 1.3.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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