condiments
Bioc currentDifferential Topology, Progression and Differentiation
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
Description
This package encapsulate many functions to conduct a differential topology analysis. It focuses on analyzing an 'omic dataset with multiple conditions. While the package is mostly geared toward scRNASeq, it does not place any restriction on the actual input format.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
29 3 exported
Complexity
2.9 avg / 15 max
Call network
29 nodes / 19 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
4,079
Files
59
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
7
Internal functions
26
Testing & CI
Has tests
Yes
Test-to-code ratio
0.27
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
17.6%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
11
First release
2021-05-19
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
1
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 83%
- Return-value docs
- 100%
- References docs
- 7%
Topics
People
- Hector Roux de Bezieux author maintainer
- Kelly Street author contributor
- Koen Van den Berge author contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("condiments")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.
From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.