microbiomeDASim
Bioc currentMicrobiome Differential Abundance Simulation
Release Lineage
Entered 3.10 · Oct 30, 2019
Current · Requires R 4.6
Description
A toolkit for simulating differential microbiome data designed for longitudinal analyses. Several functional forms may be specified for the mean trend. Observations are drawn from a multivariate normal model. The objective of this package is to be able to simulate data in order to accurately compare different longitudinal methods for differential abundance.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
18 9 exported
Complexity
6.6 avg / 16 max
Call network
18 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
3,090
Files
39
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
9
Internal functions
9
Testing
Has tests
Yes
Test-to-code ratio
0.18
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.6.0
System requirements
–
C++ standard
–
License
MIT + file LICENSE
License flags
SPDX valid, OSI approved
History
Versions
14
First release
2019-10-29
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
3
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 18 (8 internal)
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- microbiomeDASim PDF
Repository practices
Checks run against github.com/williazo/microbiomedasim on 2026-10-21.
No development-tooling practices detected in the upstream repository.
Topics
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' entry:
citation("microbiomeDASim")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.