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scHOT

Bioc current

single-cell higher order testing

v1.24.0 · software · GPL-3

Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

Single cell Higher Order Testing (scHOT) is an R package that facilitates testing changes in higher order structure of gene expression along either a developmental trajectory or across space. scHOT is general and modular in nature, can be run in multiple data contexts such as along a continuous trajectory, between discrete groups, and over spatial orientations; as well as accommodate any higher order measurement such as variability or correlation. scHOT meaningfully adds to first order effect testing, such as differential expression, and provides a framework for interrogating higher order interactions from single cell data.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

35 30 exported

Complexity

6.2 avg / 22 max

Call network

35 nodes / 24 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

4,988

Files

125

Compiled share

0%

Has compiled src

No

Language breakdown

R 3,088 (61.9%)Docs 1,393 (27.9%)Vignettes 507 (10.2%)

API

Exported functions

30

Internal functions

5

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

7.1%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

13

First release

2020-04-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.11: 4,988 LOCv3.12: 4,988 LOCv3.13: 4,988 LOCv3.14: 4,988 LOCv3.15: 4,988 LOCv3.16: 4,988 LOCv3.17: 4,988 LOCv3.18: 4,988 LOCv3.19: 4,988 LOCv3.20: 4,988 LOCv3.21: 4,988 LOCv3.22: 4,988 LOCv3.23: 4,988 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 30 wordsVignettesYes · dynamicpkgdown siteYesNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("scHOT")
Ghazanfar, S., & Lin, Y. (2026). scHOT: single-cell higher order testing (Version 1.24.0) [Computer software]. https://bioconductor.org/packages/scHOT

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 scHOT version 1.24.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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