ASICS
Bioc currentAutomatic Statistical Identification in Complex Spectra
Release Lineage
Entered 3.7 · May 1, 2018
Current · Requires R 4.6
Description
With a set of pure metabolite reference spectra, ASICS quantifies concentration of metabolites in a complex spectrum. The identification of metabolites is performed by fitting a mixture model to the spectra of the library with a sparse penalty. The method and its statistical properties are described in Tardivel et al. (2017) <doi:10.1007/s11306-017-1244-5>.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
68 15 exported
Complexity
4.2 avg / 27 max
Call network
68 nodes / 55 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
6,406
Files
79
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
15
Internal functions
52
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.04
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.5
System requirements
–
C++ standard
–
License
GPL (>= 2)
License flags
SPDX valid, OSI approved
History
Versions
17
First release
2018-08-21
Latest release
2026-04-28
Avg cadence
172 days
Cold removal rate
100%
Dep drift
7
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
- 94%
- Return-value docs
- 100%
- References docs
- 20%
Topics
Depended on by (1)
Bioconductor (1)
People
- Gaëlle Lefort author maintainer
- Rémi Servien author
- Patrick Tardivel author
- Nathalie Vialaneix author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ASICS")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 v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.